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Why Your Retail AI Strategy Is Probably Wrong (And How to Fix It) | Spotlight Series · Omni Talk Retail

• 0:00
  Foreign.
• 0:08
  This
• 0:08
  Retail
• 0:08
  Technology
• 0:09
  Spotlight
• 0:10
  series
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  brought
• 0:11
  to
• 0:11
  you
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  by
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  the
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  Omnitalk
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  Retail
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  Network.
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  Ranked
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  10%
• 0:14
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• 0:15
  globally
• 0:16
  and
• 0:16
  currently
• 0:16
  ranked
• 0:17
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• 0:17
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• 0:17
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• 0:17
  100
• 0:17
  of
• 0:18
  all
• 0:18
  business
• 0:18
  podcasts
• 0:19
  on
• 0:19
  Apple
• 0:19
  Podcasts.
• 0:20
  And
• 0:20
  this
• 0:20
  podcast
• 0:21
  is
• 0:21
  just
• 0:21
  one
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  of
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  many
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  great
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• 0:23
  you
• 0:23
  can
• 0:23
  find
• 0:23
  from
• 0:23
  us
• 0:24
  here
• 0:24
  at
• 0:24
  Omnitalk
• 0:25
  Retail,
• 0:25
  alongside
• 0:25
  our
• 0:26
  Retail
• 0:26
  Daily
• 0:26
  minute,
• 0:27
  which
• 0:27
  brings
• 0:27
  you
• 0:27
  a
• 0:28
  curated
• 0:28
  selection
• 0:28
  of
• 0:28
  the
• 0:29
  most
• 0:29
  important
• 0:29
  retail
• 0:29
  headlines
• 0:30
  every
• 0:30
  morning
• 0:31
  and
• 0:31
  our
• 0:31
  signature
• 0:31
  podcast,
• 0:32
  the
• 0:32
  Retail
• 0:32
  Fast
• 0:33
  five,
• 0:33
  that
• 0:33
  breaks
• 0:33
  down
• 0:34
  each
• 0:34
  week.
• 0:34
  The
• 0:35
  top
• 0:35
  five
• 0:35
  headlines
• 0:36
  making
• 0:36
  waves
• 0:37
  in
• 0:37
  the
• 0:37
  world
• 0:37
  of
• 0:37
  omnichannel
• 0:38
  retailing
• 0:38
  and
• 0:39
  comes
• 0:39
  your
• 0:39
  way
• 0:39
  every
• 0:40
  Wednesday
• 0:40
  afternoon.
• 0:41
  Hello,
• 0:41
  everyone.
• 0:42
  I
• 0:42
  am
• 0:42
  Chris
• 0:42
  Walton,
• 0:43
  one
• 0:43
  of
• 0:43
  the
• 0:43
  founders
• 0:43
  of
• 0:44
  omnitalk.
• 0:44
  And
• 0:44
  today
• 0:45
  I
• 0:45
  am
• 0:45
  bringing
• 0:45
  you
• 0:46
  the
• 0:46
  experts,
• 0:47
  the
• 0:47
  consultative
• 0:48
  experts,
• 0:49
  that
• 0:49
  is.
• 0:49
  And
• 0:49
  they're
• 0:50
  here
• 0:50
  to
• 0:50
  help
• 0:50
  us
• 0:50
  understand
• 0:51
  how
• 0:51
  retailers
• 0:52
  should
• 0:52
  approach
• 0:52
  AI
• 0:53
  engineering
• 0:53
  and
• 0:54
  and
• 0:54
  digital
• 0:54
  product
• 0:55
  development.
• 0:55
  So
• 0:55
  please
• 0:56
  join
• 0:56
  us
• 0:56
  in
• 0:56
  welcoming
• 0:57
  our
• 0:57
  two
• 0:57
  guests
• 0:58
  from
• 0:58
  Experian
• 0:59
  Technologies.
• 1:00
  First,
• 1:00
  it's
• 1:00
  global
• 1:01
  head
• 1:01
  of
• 1:01
  Data
• 1:02
  and
• 1:02
  AI
• 1:02
  Suraj
• 1:03
  Ali
• 1:04
  Mohammed.
• 1:04
  And
• 1:05
  also
• 1:05
  Mahesh
• 1:06
  Vijay
• 1:06
  Raghavan,
• 1:07
  Experience
• 1:08
  VP
• 1:08
  of
• 1:09
  Retail
• 1:09
  and
• 1:09
  consumer
• 1:10
  goods.
• 1:10
  Gentlemen,
• 1:11
  welcome
• 1:12
  to
• 1:12
  both
• 1:12
  of
• 1:12
  you
• 1:12
  and
• 1:13
  thank
• 1:13
  you
• 1:13
  for
• 1:13
  joining
• 1:13
  us.
• 1:14
  And
• 1:14
  hopefully
• 1:14
  I
• 1:14
  didn't
• 1:14
  get
• 1:15
  those
• 1:15
  names.
• 1:15
  I
• 1:16
  got
• 1:16
  those
• 1:16
  names.
• 1:16
  Hopefully
• 1:17
  I
• 1:17
  got
• 1:17
  those
• 1:17
  names
• 1:17
  as
• 1:17
  correct
• 1:18
  as
• 1:18
  I
• 1:18
  could
• 1:18
  get
• 1:18
  them.
• 1:19
  I
• 1:19
  think.
• 1:19
  You
• 1:19
  guys
• 1:19
  tell
• 1:19
  me,
• 1:20
  Siraj,
• 1:20
  how
• 1:21
  are
• 1:21
  you
• 1:21
  this
• 1:21
  morning?
• 1:22
  I'm
• 1:22
  doing
• 1:22
  really
• 1:23
  good.
• 1:23
  10
• 1:23
  on.
• 1:23
  10
• 1:23
  on
• 1:24
  that.
• 1:24
  Chris.
• 1:25
  Great.
• 1:25
  Awesome.
• 1:25
  Awesome.
• 1:26
  And
• 1:26
  Mahesh,
• 1:26
  how
• 1:26
  are
• 1:27
  you?
• 1:27
  Excited.
• 1:28
  Very
• 1:28
  excited.
• 1:28
  Chris,
• 1:28
  you
• 1:29
  know,
• 1:29
  you
• 1:29
  got
• 1:29
  my
• 1:29
  last
• 1:30
  name
• 1:30
  perfect.
• 1:31
  And,
• 1:31
  you
• 1:31
  know,
• 1:31
  we
• 1:32
  are
• 1:32
  so
• 1:32
  excited
• 1:32
  to
• 1:32
  be
• 1:33
  here
• 1:33
  and
• 1:33
  kind
• 1:33
  of
• 1:34
  a
• 1:34
  little
• 1:34
  exposed
• 1:34
  as
• 1:35
  well.
• 1:35
  You
• 1:35
  know,
• 1:35
  the
• 1:36
  thing
• 1:36
  about
• 1:36
  your
• 1:36
  podcast
• 1:37
  is
• 1:37
  that,
• 1:37
  you
• 1:37
  know,
• 1:37
  you
• 1:37
  don't
• 1:38
  let
• 1:38
  people
• 1:39
  hide
• 1:40
  behind
• 1:40
  buzzwords.
• 1:41
  So
• 1:42
  I'm
• 1:42
  actually
• 1:42
  a
• 1:43
  little
• 1:43
  nervous
• 1:43
  as
• 1:43
  well.
• 1:44
  Are
• 1:44
  you?
• 1:44
  All
• 1:44
  right?
• 1:45
  All
• 1:45
  right.
• 1:45
  Well,
• 1:46
  that's
• 1:46
  awesome.
• 1:47
  No
• 1:47
  one's
• 1:47
  ever
• 1:47
  admitted
• 1:48
  that
• 1:48
  to
• 1:48
  me
• 1:49
  on
• 1:49
  camera
• 1:50
  or
• 1:50
  on
• 1:50
  air
• 1:50
  before,
• 1:51
  so
• 1:51
  because
• 1:51
  you
• 1:51
  said
• 1:51
  that,
• 1:52
  maybe
• 1:52
  I'll
• 1:52
  take
• 1:52
  it
• 1:52
  a
• 1:52
  little
• 1:52
  easier
• 1:53
  on
• 1:53
  you
• 1:53
  this
• 1:53
  week
• 1:54
  this
• 1:54
  time.
• 1:54
  But
• 1:55
  let's
• 1:55
  start
• 1:55
  with
• 1:55
  you.
• 1:55
  So
• 1:56
  tell
• 1:56
  the
• 1:56
  audience
• 1:56
  a
• 1:56
  little
• 1:57
  bit
• 1:57
  about
• 1:57
  your
• 1:57
  background.
• 1:58
  Tell
• 1:59
  us
• 1:59
  about
• 1:59
  Experian
• 2:00
  Technologies
• 2:00
  too,
• 2:00
  and
• 2:01
  all
• 2:01
  that
• 2:01
  it
• 2:01
  does
• 2:01
  as
• 2:01
  well.
• 2:02
  So
• 2:02
  that
• 2:02
  is
• 2:02
  one
• 2:03
  of
• 2:03
  my
• 2:03
  favorite
• 2:03
  parts
• 2:04
  as
• 2:04
  well,
• 2:04
  you
• 2:04
  know,
• 2:04
  describing
• 2:05
  about
• 2:06
  experion.
• 2:07
  So
• 2:08
  the
• 2:08
  simplest
• 2:09
  way
• 2:09
  to
• 2:09
  describe
• 2:09
  experion
• 2:10
  is
• 2:10
  this.
• 2:11
  We
• 2:11
  help
• 2:11
  our
• 2:11
  customers
• 2:13
  turn
• 2:13
  complexity
• 2:14
  into
• 2:14
  clarity.
• 2:16
  We
• 2:16
  are
• 2:16
  actually
• 2:16
  a
• 2:17
  product
• 2:17
  engineering
• 2:17
  and
• 2:17
  digital
• 2:18
  experience
• 2:18
  partner
• 2:19
  that
• 2:20
  spend
• 2:20
  nearly
• 2:20
  two
• 2:21
  decades
• 2:21
  deep
• 2:22
  in
• 2:22
  retail,
• 2:23
  manufacturing,
• 2:24
  automobile
• 2:24
  and
• 2:25
  consumer
• 2:25
  ecosystems,
• 2:27
  working
• 2:27
  across
• 2:28
  stores,
• 2:29
  supply
• 2:29
  chains,
• 2:30
  digital
• 2:30
  platforms,
• 2:32
  data
• 2:32
  platforms,
• 2:33
  and
• 2:33
  digital
• 2:33
  channels.
• 2:35
  Our
• 2:35
  strength
• 2:35
  actually
• 2:36
  is
• 2:36
  in
• 2:36
  product
• 2:36
  engineering.
• 2:37
  We
• 2:38
  discover,
• 2:39
  design,
• 2:40
  build
• 2:40
  and
• 2:40
  deploy
• 2:41
  Products
• 2:41
  that
• 2:42
  solve
• 2:42
  real
• 2:43
  business
• 2:43
  problems.
• 2:45
  From
• 2:45
  modernizing
• 2:45
  legacy
• 2:46
  systems
• 2:46
  to
• 2:47
  building
• 2:48
  customer
• 2:49
  facing
• 2:49
  applications,
• 2:50
  to
• 2:50
  developing
• 2:51
  AI
• 2:51
  powered
• 2:52
  platforms.
• 2:53
  We
• 2:54
  have
• 2:54
  actually
• 2:54
  worked
• 2:54
  with
• 2:54
  over
• 2:55
  300
• 2:55
  different
• 2:56
  clients
• 2:56
  globally
• 2:57
  across
• 2:58
  35
• 2:59
  countries
• 3:00
  with
• 3:00
  5
• 3:03
  offices
• 3:03
  in
• 3:04
  5
• 3:04
  different
• 3:04
  geographic
• 3:05
  locations
• 3:05
  like
• 3:05
  Japan,
• 3:06
  Australia,
• 3:07
  USA,
• 3:08
  UK
• 3:08
  and
• 3:08
  India.
• 3:10
  So
• 3:11
  what
• 3:11
  is
• 3:11
  different
• 3:12
  about
• 3:12
  us
• 3:12
  is
• 3:12
  that
• 3:13
  we
• 3:13
  don't
• 3:13
  lead
• 3:13
  with
• 3:14
  technology,
• 3:14
  we
• 3:15
  lead
• 3:15
  with
• 3:16
  business
• 3:16
  outcomes.
• 3:17
  Our
• 3:17
  teams
• 3:18
  sit
• 3:18
  at
• 3:18
  the
• 3:18
  intersection
• 3:19
  of
• 3:20
  product,
• 3:21
  commerce,
• 3:22
  data
• 3:22
  and
• 3:22
  AI,
• 3:23
  helping
• 3:23
  our
• 3:24
  customers
• 3:24
  move
• 3:25
  from
• 3:25
  kind
• 3:25
  of
• 3:26
  a
• 3:26
  reactive
• 3:27
  operations
• 3:27
  mode
• 3:28
  to
• 3:28
  predictive
• 3:29
  decision
• 3:29
  making.
• 3:32
  Siraj
• 3:32
  can
• 3:33
  vouch
• 3:34
  on
• 3:34
  this.
• 3:34
  Over
• 3:34
  the
• 3:34
  last
• 3:35
  few
• 3:35
  years,
• 3:35
  our
• 3:35
  big
• 3:36
  focus
• 3:36
  of
• 3:36
  us
• 3:37
  have
• 3:37
  been
• 3:37
  on
• 3:38
  operationalizing
• 3:39
  data
• 3:39
  and
• 3:39
  AI,
• 3:40
  not
• 3:40
  as
• 3:40
  an
• 3:41
  innovation
• 3:41
  lab,
• 3:41
  but
• 3:42
  directly
• 3:43
  embedding
• 3:44
  into
• 3:45
  areas
• 3:45
  like
• 3:46
  demand
• 3:46
  planning,
• 3:46
  pricing,
• 3:47
  customer
• 3:48
  engagement,
• 3:48
  workflows
• 3:49
  and
• 3:49
  all
• 3:49
  that.
• 3:50
  So
• 3:50
  that
• 3:51
  is
• 3:51
  on
• 3:51
  a
• 3:51
  high
• 3:51
  level
• 3:52
  what
• 3:52
  experion
• 3:53
  is
• 3:53
  all
• 3:53
  about.
• 3:54
  Great.
• 3:54
  So
• 3:54
  Siraj,
• 3:55
  I'm
• 3:55
  curious
• 3:55
  too.
• 3:55
  So
• 3:56
  how
• 3:57
  would
• 3:57
  you
• 3:57
  sum
• 3:57
  up
• 3:57
  what
• 3:58
  it's
• 3:58
  all
• 3:58
  about
• 3:58
  too?
• 3:58
  And
• 3:58
  I
• 3:58
  also
• 3:59
  want
• 3:59
  to
• 3:59
  know,
• 3:59
  I
• 3:59
  also
• 3:59
  want
• 4:00
  to
• 4:00
  know
• 4:00
  what
• 4:00
  does
• 4:00
  a
• 4:00
  global
• 4:01
  head
• 4:01
  of
• 4:01
  data
• 4:01
  and
• 4:02
  AI
• 4:02
  do
• 4:02
  on
• 4:02
  a
• 4:03
  regular
• 4:03
  basis?
• 4:04
  What
• 4:04
  does
• 4:04
  an
• 4:04
  average
• 4:05
  day
• 4:05
  look
• 4:05
  like
• 4:06
  for
• 4:06
  you
• 4:06
  in
• 4:06
  that
• 4:06
  field?
• 4:07
  I
• 4:07
  have
• 4:07
  no
• 4:08
  idea,
• 4:08
  no
• 4:08
  conceptualization
• 4:09
  of
• 4:09
  that.
• 4:10
  So
• 4:10
  yeah,
• 4:10
  what
• 4:11
  does
• 4:11
  my
• 4:11
  average
• 4:11
  day
• 4:11
  look
• 4:12
  like?
• 4:12
  I
• 4:13
  have
• 4:14
  data
• 4:14
  for
• 4:15
  breakfast,
• 4:15
  lunch
• 4:16
  and
• 4:16
  dinner
• 4:16
  probably.
• 4:18
  As
• 4:18
  global
• 4:18
  head
• 4:19
  of
• 4:19
  data,
• 4:19
  I'm
• 4:20
  helping
• 4:20
  customers
• 4:20
  kind
• 4:21
  of
• 4:21
  try
• 4:21
  and
• 4:21
  figure,
• 4:22
  figure
• 4:23
  out
• 4:23
  their
• 4:23
  challenges
• 4:24
  with
• 4:24
  data.
• 4:25
  How
• 4:25
  do
• 4:25
  they
• 4:25
  manage
• 4:26
  better,
• 4:26
  how
• 4:26
  do
• 4:27
  they
• 4:27
  put
• 4:28
  it
• 4:28
  to
• 4:28
  best
• 4:28
  use
• 4:29
  in
• 4:29
  terms
• 4:29
  of
• 4:30
  analytics
• 4:31
  or
• 4:31
  even
• 4:31
  reporting.
• 4:32
  And
• 4:33
  more
• 4:33
  often
• 4:33
  these
• 4:34
  days
• 4:34
  is
• 4:34
  all
• 4:34
  about
• 4:35
  how
• 4:35
  can
• 4:35
  they
• 4:36
  use
• 4:36
  AI
• 4:37
  to
• 4:37
  improve
• 4:37
  their,
• 4:38
  their
• 4:38
  business
• 4:38
  functions.
• 4:39
  Right.
• 4:39
  So,
• 4:40
  and
• 4:40
  Mahesh
• 4:41
  touched
• 4:41
  on
• 4:41
  that
• 4:42
  point
• 4:42
  around
• 4:42
  business
• 4:42
  outcomes.
• 4:44
  As
• 4:44
  a
• 4:44
  firm,
• 4:44
  we
• 4:45
  put
• 4:45
  a
• 4:45
  lot
• 4:45
  of
• 4:46
  focus
• 4:46
  into
• 4:46
  that.
• 4:46
  We
• 4:47
  don't
• 4:47
  build
• 4:47
  data
• 4:47
  and
• 4:47
  AI
• 4:48
  solutions
• 4:48
  just
• 4:48
  because
• 4:49
  you
• 4:49
  need
• 4:49
  to
• 4:49
  report
• 4:49
  back
• 4:50
  to
• 4:50
  the
• 4:50
  board
• 4:50
  that
• 4:50
  you've
• 4:51
  done
• 4:51
  something
• 4:51
  around
• 4:52
  data
• 4:52
  and
• 4:52
  AI.
• 4:53
  We
• 4:53
  want
• 4:53
  to
• 4:54
  make
• 4:54
  sure
• 4:54
  that
• 4:54
  whatever
• 4:54
  you,
• 4:55
  we
• 4:55
  help
• 4:55
  you
• 4:56
  put
• 4:56
  in
• 4:56
  there,
• 4:56
  either
• 4:56
  be
• 4:57
  it
• 4:57
  from
• 4:57
  a
• 4:57
  design
• 4:57
  perspective
• 4:58
  or
• 4:59
  even
• 4:59
  a
• 4:59
  roadmap
• 5:00
  or
• 5:00
  even
• 5:00
  implementation,
• 5:01
  we
• 5:01
  want
• 5:01
  to
• 5:02
  make
• 5:02
  sure
• 5:02
  that
• 5:02
  you're
• 5:02
  doing
• 5:02
  it
• 5:03
  because
• 5:03
  it's
• 5:03
  going
• 5:03
  to
• 5:03
  give
• 5:04
  you
• 5:04
  an
• 5:04
  outcome,
• 5:05
  a
• 5:05
  value
• 5:05
  add
• 5:06
  to
• 5:06
  the
• 5:06
  business
• 5:06
  as
• 5:06
  you
• 5:07
  do
• 5:07
  it.
• 5:07
  Right.
• 5:07
  So
• 5:08
  that's
• 5:09
  what
• 5:09
  gets
• 5:09
  me
• 5:09
  excited
• 5:10
  every
• 5:10
  morning.
• 5:10
  I'm,
• 5:11
  I'm,
• 5:12
  I'm
• 5:12
  so
• 5:13
  gutted
• 5:13
  to
• 5:13
  say
• 5:13
  this,
• 5:14
  but
• 5:14
  I'm
• 5:15
  sure
• 5:15
  my
• 5:15
  kids
• 5:15
  will
• 5:16
  kick
• 5:16
  me
• 5:16
  for
• 5:16
  it
• 5:16
  as
• 5:16
  well.
• 5:17
  But
• 5:18
  I
• 5:18
  probably
• 5:18
  do
• 5:19
  love
• 5:19
  data
• 5:19
  quite
• 5:19
  a
• 5:20
  bit.
• 5:20
  Do
• 5:20
  you
• 5:20
  love
• 5:20
  digesting
• 5:21
  data
• 5:21
  in
• 5:21
  any
• 5:21
  particular
• 5:22
  way?
• 5:22
  Like
• 5:22
  do
• 5:22
  you
• 5:23
  love
• 5:23
  a
• 5:23
  spreadsheet?
• 5:23
  Do
• 5:24
  you
• 5:24
  love
• 5:24
  like
• 5:25
  a
• 5:25
  table?
• 5:26
  Like
• 5:26
  what,
• 5:26
  what,
• 5:26
  what's,
• 5:27
  how
• 5:27
  should
• 5:27
  we
• 5:28
  think
• 5:28
  about
• 5:28
  that?
• 5:28
  Siraj?
• 5:29
  I
• 5:29
  Think.
• 5:29
  I
• 5:29
  think
• 5:30
  variety
• 5:30
  keeps
• 5:30
  me
• 5:31
  excited.
• 5:31
  So
• 5:32
  bring
• 5:32
  it
• 5:32
  all
• 5:33
  on.
• 5:33
  Right.
• 5:33
  So
• 5:33
  these
• 5:34
  days,
• 5:34
  I
• 5:34
  think
• 5:34
  for
• 5:34
  retail,
• 5:35
  you're
• 5:35
  gonna
• 5:36
  talk
• 5:36
  a
• 5:36
  lot
• 5:36
  more
• 5:36
  on
• 5:37
  streaming
• 5:37
  data
• 5:38
  and
• 5:39
  consuming
• 5:39
  data
• 5:40
  wherever
• 5:40
  you
• 5:40
  get
• 5:40
  it
• 5:41
  from.
• 5:41
  Right.
• 5:41
  So.
• 5:42
  And
• 5:43
  more
• 5:43
  and
• 5:43
  more
• 5:43
  as
• 5:43
  we
• 5:44
  get
• 5:44
  into
• 5:44
  this
• 5:44
  sort
• 5:44
  of
• 5:44
  unstructured
• 5:45
  world
• 5:45
  of
• 5:45
  data,
• 5:46
  meaning,
• 5:46
  you
• 5:47
  know,
• 5:47
  you're
• 5:47
  no
• 5:47
  longer
• 5:48
  looking
• 5:48
  at
• 5:48
  it
• 5:48
  as
• 5:48
  tables,
• 5:49
  you're
• 5:49
  actually
• 5:49
  looking
• 5:50
  at
• 5:50
  as
• 5:50
  images,
• 5:51
  as
• 5:51
  audio
• 5:51
  files,
• 5:52
  as
• 5:53
  interactions
• 5:53
  that
• 5:54
  comes
• 5:54
  through.
• 5:54
  And
• 5:54
  you
• 5:55
  want
• 5:55
  to
• 5:55
  consume
• 5:55
  it
• 5:56
  as
• 5:56
  you
• 5:56
  get
• 5:56
  it.
• 5:56
  Right.
• 5:57
  So
• 5:57
  you
• 5:57
  don't
• 5:57
  want
• 5:57
  it
• 5:57
  to
• 5:58
  be,
• 5:59
  want
• 5:59
  to
• 5:59
  be
• 5:59
  very
• 6:00
  prescriptive
• 6:01
  on
• 6:01
  how
• 6:01
  that
• 6:01
  data
• 6:02
  comes
• 6:02
  along.
• 6:02
  So
• 6:03
  variety,
• 6:03
  that's
• 6:03
  all,
• 6:04
  when
• 6:04
  you
• 6:04
  put.
• 6:04
  It
• 6:04
  that
• 6:04
  way,
• 6:04
  Siraj,
• 6:05
  I
• 6:05
  guess
• 6:05
  I'm
• 6:05
  a
• 6:05
  data
• 6:05
  junkie
• 6:06
  too.
• 6:06
  The
• 6:06
  amount
• 6:06
  of
• 6:06
  content
• 6:07
  I'm
• 6:07
  consuming
• 6:08
  and
• 6:08
  creating
• 6:08
  all
• 6:08
  the
• 6:08
  time
• 6:09
  too.
• 6:09
  When
• 6:09
  you
• 6:09
  put
• 6:09
  it
• 6:09
  that
• 6:09
  way,
• 6:09
  that's
• 6:10
  really
• 6:10
  interesting.
• 6:10
  I
• 6:10
  want
• 6:11
  to
• 6:11
  get.
• 6:11
  I
• 6:11
  definitely
• 6:11
  want
• 6:11
  to
• 6:11
  press
• 6:12
  you
• 6:12
  on
• 6:12
  the
• 6:12
  point
• 6:12
  too
• 6:12
  that
• 6:12
  you
• 6:13
  said
• 6:13
  about
• 6:13
  being
• 6:14
  outcome
• 6:14
  focused
• 6:14
  too.
• 6:15
  But
• 6:15
  we'll
• 6:15
  do
• 6:15
  that
• 6:15
  in
• 6:15
  a
• 6:15
  few
• 6:15
  minutes.
• 6:16
  But
• 6:16
  before
• 6:16
  I
• 6:16
  do
• 6:16
  that,
• 6:17
  I
• 6:17
  want
• 6:17
  to
• 6:17
  ask
• 6:17
  you
• 6:17
  guys,
• 6:17
  to
• 6:18
  both
• 6:18
  of
• 6:18
  you
• 6:19
  and
• 6:19
  Mahesh,
• 6:19
  we'll
• 6:19
  go
• 6:19
  to
• 6:19
  you
• 6:19
  first
• 6:20
  on
• 6:20
  this
• 6:20
  one
• 6:20
  again.
• 6:20
  But
• 6:22
  you
• 6:22
  know,
• 6:23
  I've
• 6:24
  been
• 6:24
  asking
• 6:24
  this
• 6:24
  question
• 6:24
  a
• 6:25
  lot,
• 6:25
  this
• 6:25
  next
• 6:25
  question,
• 6:26
  a
• 6:26
  lot,
• 6:26
  particularly
• 6:26
  coming
• 6:27
  out
• 6:27
  of
• 6:27
  nrf.
• 6:28
  And
• 6:28
  that
• 6:28
  is
• 6:29
  I
• 6:29
  want
• 6:29
  to
• 6:29
  know
• 6:29
  how
• 6:29
  each
• 6:30
  of
• 6:30
  you
• 6:30
  would
• 6:30
  sum
• 6:30
  up
• 6:31
  the
• 6:32
  state
• 6:32
  of
• 6:32
  AI
• 6:33
  across
• 6:33
  the
• 6:33
  retail
• 6:34
  industry.
• 6:34
  And
• 6:34
  I,
• 6:34
  and
• 6:35
  I
• 6:35
  purposely
• 6:35
  said
• 6:35
  the
• 6:36
  state
• 6:36
  of
• 6:36
  AI
• 6:37
  as
• 6:38
  well
• 6:38
  to
• 6:38
  see
• 6:38
  how
• 6:39
  you
• 6:39
  guys
• 6:39
  respond
• 6:39
  to
• 6:39
  that.
• 6:40
  But
• 6:40
  would
• 6:40
  you
• 6:40
  say
• 6:40
  that
• 6:40
  it's
• 6:41
  overhyped,
• 6:42
  under
• 6:42
  hyped,
• 6:43
  or
• 6:43
  properly
• 6:44
  hyped?
• 6:44
  I
• 6:44
  can't.
• 6:45
  I
• 6:45
  gotta
• 6:45
  put
• 6:45
  you
• 6:45
  your
• 6:46
  feet
• 6:46
  to
• 6:46
  the
• 6:46
  fire
• 6:46
  on
• 6:46
  this
• 6:47
  one
• 6:47
  too.
• 6:47
  So,
• 6:47
  Mahesh,
• 6:47
  let's
• 6:48
  start
• 6:48
  with
• 6:48
  you
• 6:48
  and
• 6:48
  then
• 6:48
  Siraj,
• 6:49
  to
• 6:49
  have
• 6:49
  you
• 6:49
  answer
• 6:50
  next.
• 6:50
  Yeah,
• 6:51
  I
• 6:51
  love
• 6:51
  this
• 6:51
  question,
• 6:51
  Chris.
• 6:52
  So
• 6:53
  that's
• 6:53
  why,
• 6:53
  you
• 6:53
  know,
• 6:53
  conversations
• 6:54
  like
• 6:54
  Omnitalk
• 6:55
  resonates
• 6:55
  with
• 6:56
  us
• 6:56
  very
• 6:57
  well.
• 6:57
  You
• 6:57
  know,
• 6:57
  where
• 6:57
  it's
• 6:57
  not
• 6:58
  about
• 6:58
  shiny
• 6:58
  technology,
• 6:59
  but,
• 6:59
  you
• 6:59
  know,
• 6:59
  it's
• 6:59
  more
• 7:00
  about
• 7:00
  what
• 7:01
  actually
• 7:01
  works
• 7:01
  on
• 7:02
  the
• 7:02
  floor.
• 7:03
  So,
• 7:03
  yeah,
• 7:03
  on
• 7:03
  the
• 7:04
  AI
• 7:04
  part,
• 7:04
  I
• 7:04
  think
• 7:05
  in
• 7:05
  AI
• 7:05
  in
• 7:06
  retail,
• 7:07
  it's
• 7:07
  kind
• 7:08
  of
• 7:08
  overhyped
• 7:08
  and
• 7:09
  under
• 7:09
  implemented
• 7:10
  is
• 7:10
  what
• 7:11
  my
• 7:11
  feeling
• 7:11
  is.
• 7:13
  It's
• 7:14
  overhyped
• 7:15
  at
• 7:15
  the
• 7:15
  highest
• 7:15
  level,
• 7:16
  where
• 7:16
  every
• 7:16
  retailer
• 7:17
  sounds
• 7:17
  like
• 7:17
  AI
• 7:18
  powered,
• 7:19
  but
• 7:19
  if
• 7:19
  you
• 7:19
  walk
• 7:20
  the
• 7:20
  stores
• 7:20
  or
• 7:20
  talk
• 7:21
  to
• 7:21
  planners,
• 7:22
  not
• 7:22
  much
• 7:22
  has
• 7:22
  actually
• 7:23
  changed
• 7:23
  day
• 7:23
  to
• 7:23
  day,
• 7:24
  to
• 7:24
  be
• 7:24
  honest.
• 7:26
  And
• 7:27
  it's
• 7:27
  undervalued
• 7:28
  where
• 7:28
  it,
• 7:29
  where
• 7:29
  it
• 7:29
  really
• 7:29
  matters,
• 7:30
  like,
• 7:30
  you
• 7:30
  know,
• 7:30
  inside
• 7:31
  forecasting
• 7:31
  or
• 7:31
  inventory
• 7:32
  decisions
• 7:33
  and
• 7:33
  shrink
• 7:34
  reduction
• 7:34
  pricing,
• 7:35
  et
• 7:35
  cetera.
• 7:36
  So
• 7:36
  the
• 7:37
  hype
• 7:37
  isn't
• 7:38
  the
• 7:38
  problem,
• 7:38
  actually.
• 7:38
  But,
• 7:39
  you
• 7:39
  know,
• 7:39
  the
• 7:39
  execution
• 7:40
  gap
• 7:40
  is
• 7:40
  a
• 7:40
  problem,
• 7:41
  is
• 7:41
  what
• 7:41
  my
• 7:42
  opinion
• 7:42
  is.
• 7:43
  And
• 7:44
  if
• 7:44
  AI
• 7:44
  is
• 7:44
  still
• 7:45
  in
• 7:45
  the
• 7:45
  dashboard,
• 7:46
  you
• 7:46
  know,
• 7:47
  it's
• 7:47
  overhyped.
• 7:48
  But
• 7:48
  if
• 7:48
  it
• 7:48
  is
• 7:49
  driving
• 7:49
  a
• 7:49
  decision
• 7:49
  at
• 7:50
  6am
• 7:50
  in
• 7:50
  the
• 7:50
  morning
• 7:50
  before
• 7:51
  the
• 7:51
  store
• 7:51
  opens,
• 7:52
  then
• 7:52
  it
• 7:52
  is
• 7:53
  kind
• 7:53
  of
• 7:53
  underappreciated.
• 7:54
  That's
• 7:55
  what
• 7:55
  my
• 7:55
  take
• 7:55
  is.
• 7:55
  That's
• 7:56
  really
• 7:56
  interesting
• 7:56
  too.
• 7:56
  And
• 7:57
  the
• 7:57
  reason
• 7:57
  I
• 7:57
  left
• 7:58
  it
• 7:58
  broad
• 7:58
  too
• 7:58
  is,
• 7:58
  I
• 7:58
  mean,
• 7:58
  there's,
• 7:59
  you
• 7:59
  know,
• 7:59
  AI
• 7:59
  comes
• 7:59
  in
• 8:00
  very
• 8:00
  many
• 8:00
  shapes
• 8:00
  and
• 8:01
  sizes.
• 8:01
  There's
• 8:01
  the
• 8:01
  traditional
• 8:02
  forecasting
• 8:02
  type
• 8:03
  AI,
• 8:03
  there's
• 8:03
  the
• 8:04
  genitive
• 8:04
  AI,
• 8:04
  then
• 8:04
  there's
• 8:05
  the
• 8:05
  agentic
• 8:05
  AI
• 8:05
  too.
• 8:06
  And
• 8:06
  so,
• 8:07
  yeah,
• 8:07
  I
• 8:07
  think
• 8:07
  I
• 8:08
  probably
• 8:08
  agree
• 8:08
  with
• 8:08
  you,
• 8:09
  Mahesh
• 8:09
  too,
• 8:09
  in
• 8:09
  terms
• 8:09
  of
• 8:10
  saying
• 8:10
  like
• 8:10
  feels
• 8:11
  overhyped,
• 8:11
  particularly
• 8:12
  because
• 8:12
  of
• 8:12
  those
• 8:12
  last
• 8:13
  two
• 8:13
  and
• 8:13
  how
• 8:14
  much
• 8:14
  focus
• 8:14
  they're
• 8:14
  getting.
• 8:15
  But
• 8:15
  then
• 8:15
  when
• 8:15
  you
• 8:16
  look
• 8:16
  at
• 8:16
  actual
• 8:16
  implementation,
• 8:17
  it's.
• 8:17
  There's
• 8:18
  a
• 8:18
  little
• 8:18
  bit
• 8:18
  of
• 8:18
  a
• 8:18
  gap
• 8:19
  there.
• 8:19
  But
• 8:19
  Siraj,
• 8:20
  would
• 8:20
  you
• 8:20
  agree
• 8:20
  with
• 8:20
  that
• 8:20
  or
• 8:21
  is
• 8:21
  there
• 8:21
  any
• 8:21
  color
• 8:21
  you'd
• 8:22
  add
• 8:22
  to
• 8:22
  this
• 8:22
  conversation?
• 8:23
  Yeah,
• 8:24
  you
• 8:24
  bring
• 8:24
  consultants
• 8:24
  on
• 8:25
  a,
• 8:25
  onto
• 8:25
  a
• 8:25
  call,
• 8:25
  they're
• 8:26
  going
• 8:26
  to
• 8:26
  say
• 8:26
  that
• 8:26
  it's,
• 8:27
  it's.
• 8:27
  There
• 8:27
  is
• 8:27
  a
• 8:28
  gap.
• 8:28
  Right.
• 8:28
  But
• 8:29
  actually
• 8:30
  very
• 8:30
  aligned
• 8:31
  to
• 8:31
  Mahesh's
• 8:32
  thinking.
• 8:33
  Except
• 8:33
  that
• 8:33
  I
• 8:34
  define
• 8:34
  it
• 8:35
  slightly
• 8:35
  differently
• 8:38
  when
• 8:38
  you
• 8:38
  ask
• 8:38
  me,
• 8:39
  is
• 8:39
  it
• 8:39
  hyped?
• 8:39
  I
• 8:40
  would
• 8:40
  say
• 8:40
  it's
• 8:41
  probably
• 8:42
  properly
• 8:42
  hyped.
• 8:43
  Right.
• 8:43
  So,
• 8:43
  because
• 8:44
  retail
• 8:44
  is
• 8:45
  always
• 8:45
  pushing
• 8:46
  the
• 8:46
  frontier
• 8:46
  of
• 8:47
  what
• 8:47
  technology
• 8:48
  delivers
• 8:49
  back
• 8:49
  to
• 8:49
  the
• 8:49
  business.
• 8:49
  Right.
• 8:50
  So
• 8:50
  I
• 8:50
  find
• 8:50
  that,
• 8:51
  you
• 8:51
  know,
• 8:51
  you
• 8:51
  always
• 8:51
  look
• 8:52
  for
• 8:52
  the
• 8:52
  best
• 8:53
  experiences
• 8:53
  coming
• 8:54
  off
• 8:54
  retail.
• 8:54
  You
• 8:54
  talked
• 8:54
  about
• 8:54
  nrf,
• 8:55
  right.
• 8:55
  Who
• 8:55
  doesn't
• 8:56
  get
• 8:56
  excited
• 8:57
  coming
• 8:57
  from
• 8:57
  an
• 8:57
  nrf,
• 8:58
  Right.
• 8:58
  So.
• 8:59
  And
• 9:00
  you're
• 9:00
  always
• 9:00
  being
• 9:02
  challenged
• 9:02
  with
• 9:03
  what
• 9:03
  technology
• 9:03
  can
• 9:03
  deliver.
• 9:04
  And
• 9:04
  today
• 9:04
  I
• 9:05
  think
• 9:05
  we
• 9:06
  are
• 9:06
  starting
• 9:06
  to
• 9:06
  see
• 9:07
  how
• 9:07
  technology
• 9:08
  can
• 9:08
  deliver
• 9:09
  to
• 9:09
  some
• 9:09
  of
• 9:09
  those
• 9:10
  asks.
• 9:10
  Right.
• 9:11
  You
• 9:11
  no
• 9:12
  longer
• 9:12
  need
• 9:12
  a
• 9:12
  team
• 9:12
  of
• 9:13
  PhDs
• 9:14
  to
• 9:14
  try
• 9:14
  and
• 9:14
  help
• 9:14
  you
• 9:15
  with,
• 9:15
  well,
• 9:15
  what
• 9:16
  is
• 9:16
  the
• 9:16
  biggest
• 9:17
  real
• 9:18
  time
• 9:18
  analytics
• 9:18
  that
• 9:18
  you
• 9:18
  can
• 9:19
  get
• 9:19
  out
• 9:19
  of
• 9:19
  the
• 9:20
  sales
• 9:20
  that's
• 9:20
  happening
• 9:21
  at
• 9:21
  the
• 9:21
  moment?
• 9:21
  Or
• 9:22
  what
• 9:22
  is
• 9:22
  a
• 9:22
  trend
• 9:23
  that's
• 9:23
  going
• 9:23
  up?
• 9:23
  Can
• 9:23
  you
• 9:24
  try
• 9:24
  and
• 9:24
  stock
• 9:25
  up
• 9:25
  ahead
• 9:25
  of
• 9:26
  the
• 9:26
  predicted
• 9:27
  demand
• 9:27
  that's
• 9:27
  going
• 9:27
  to
• 9:27
  come
• 9:27
  up?
• 9:28
  You
• 9:28
  don't
• 9:28
  need
• 9:28
  a
• 9:29
  massive
• 9:29
  data
• 9:29
  science
• 9:30
  team
• 9:30
  to
• 9:30
  do
• 9:30
  that.
• 9:31
  You
• 9:31
  can
• 9:31
  do
• 9:31
  it
• 9:32
  with
• 9:32
  a
• 9:32
  smaller
• 9:33
  team.
• 9:33
  So
• 9:33
  that
• 9:33
  sort
• 9:34
  of
• 9:34
  accessibility
• 9:35
  to
• 9:36
  analytics,
• 9:37
  data
• 9:37
  and
• 9:38
  AI,
• 9:39
  that
• 9:39
  barrier
• 9:40
  has
• 9:40
  actually
• 9:40
  gone
• 9:40
  really
• 9:41
  low.
• 9:41
  Right.
• 9:42
  So
• 9:42
  where
• 9:43
  I
• 9:43
  think
• 9:43
  there
• 9:43
  is
• 9:43
  a
• 9:44
  gap
• 9:44
  is
• 9:44
  that
• 9:44
  sort
• 9:45
  of
• 9:45
  implementation
• 9:46
  that
• 9:46
  Mahesh
• 9:46
  was
• 9:47
  talking
• 9:47
  about.
• 9:47
  So
• 9:48
  the
• 9:48
  hype
• 9:49
  is
• 9:49
  there
• 9:49
  and
• 9:50
  I
• 9:50
  think
• 9:50
  that
• 9:50
  is
• 9:50
  properly
• 9:51
  there
• 9:51
  because
• 9:52
  the
• 9:52
  technology
• 9:52
  is
• 9:52
  asking
• 9:53
  for
• 9:53
  it,
• 9:54
  but
• 9:55
  we
• 9:55
  feel
• 9:55
  it
• 9:55
  as
• 9:55
  a
• 9:56
  hype
• 9:56
  because
• 9:56
  the
• 9:56
  services
• 9:57
  are
• 9:57
  not
• 9:58
  capable
• 9:59
  of
• 9:59
  catching
• 9:59
  up
• 10:00
  to
• 10:00
  that.
• 10:00
  Right.
• 10:00
  Or
• 10:00
  there
• 10:00
  Is
• 10:01
  a
• 10:01
  gap
• 10:01
  in
• 10:01
  that?
• 10:02
  Maybe
• 10:03
  the
• 10:03
  question
• 10:03
  is
• 10:03
  like,
• 10:04
  it's
• 10:04
  irrelevant
• 10:05
  if
• 10:05
  there's
• 10:05
  a
• 10:05
  gap
• 10:06
  in
• 10:06
  some
• 10:06
  ways.
• 10:06
  Like
• 10:06
  if,
• 10:07
  you
• 10:07
  know,
• 10:07
  is
• 10:07
  there,
• 10:08
  is
• 10:08
  it
• 10:08
  really
• 10:08
  a
• 10:08
  gap
• 10:09
  or
• 10:09
  is
• 10:09
  it
• 10:09
  the
• 10:10
  intention
• 10:10
  of
• 10:11
  the,
• 10:12
  of
• 10:12
  the
• 10:12
  retailers
• 10:13
  in
• 10:13
  terms
• 10:13
  of
• 10:13
  how
• 10:13
  they're
• 10:14
  implementing
• 10:14
  it?
• 10:14
  Because
• 10:15
  the
• 10:15
  other
• 10:15
  thing
• 10:15
  that
• 10:15
  I
• 10:15
  heard
• 10:15
  at
• 10:16
  NRF
• 10:16
  is
• 10:16
  there's
• 10:17
  just
• 10:17
  so
• 10:17
  many
• 10:18
  pilots
• 10:18
  going
• 10:18
  on.
• 10:19
  So
• 10:19
  if
• 10:19
  you
• 10:19
  think
• 10:19
  about
• 10:19
  that,
• 10:20
  in
• 10:20
  terms
• 10:20
  of
• 10:20
  the
• 10:20
  number
• 10:20
  of
• 10:20
  pilots
• 10:21
  going
• 10:21
  on,
• 10:21
  you
• 10:21
  say,
• 10:22
  well,
• 10:22
  there's
• 10:22
  no
• 10:22
  gap,
• 10:23
  but
• 10:23
  yet
• 10:23
  maybe
• 10:24
  those
• 10:24
  pilots
• 10:24
  aren't
• 10:24
  as
• 10:25
  fruitful
• 10:25
  as
• 10:25
  we
• 10:26
  want
• 10:26
  them
• 10:26
  to
• 10:26
  be.
• 10:26
  Which
• 10:26
  leads
• 10:27
  me
• 10:27
  to
• 10:27
  think
• 10:27
  like,
• 10:27
  Mahesh,
• 10:28
  you
• 10:28
  know,
• 10:28
  is
• 10:28
  onto
• 10:29
  something.
• 10:29
  But
• 10:29
  then
• 10:29
  at
• 10:29
  the
• 10:29
  same
• 10:30
  time,
• 10:30
  you
• 10:30
  also
• 10:30
  are
• 10:31
  on
• 10:31
  to
• 10:31
  something.
• 10:31
  Siraj.
• 10:32
  So,
• 10:32
  so
• 10:32
  how
• 10:32
  do
• 10:32
  you
• 10:32
  think
• 10:33
  about
• 10:33
  it
• 10:33
  in
• 10:33
  terms
• 10:33
  of
• 10:34
  all
• 10:34
  the
• 10:34
  pilots
• 10:35
  that
• 10:35
  are
• 10:35
  ongoing?
• 10:35
  Is
• 10:36
  that
• 10:36
  the
• 10:36
  right
• 10:36
  approach?
• 10:36
  Or,
• 10:37
  you
• 10:37
  know,
• 10:37
  are
• 10:38
  we
• 10:38
  missing
• 10:38
  something
• 10:38
  in
• 10:38
  our
• 10:39
  intentions?
• 10:40
  I
• 10:40
  think
• 10:40
  the
• 10:41
  two
• 10:41
  things
• 10:41
  there.
• 10:42
  So
• 10:42
  you
• 10:42
  talked
• 10:42
  about
• 10:42
  the
• 10:43
  gap.
• 10:43
  Yes,
• 10:43
  there
• 10:43
  is
• 10:43
  a
• 10:44
  gap.
• 10:44
  And
• 10:44
  I
• 10:44
  think
• 10:44
  it's
• 10:45
  down
• 10:45
  to
• 10:45
  everything,
• 10:45
  right?
• 10:46
  So
• 10:46
  everything
• 10:46
  from
• 10:47
  data
• 10:47
  readiness,
• 10:48
  we
• 10:48
  find
• 10:48
  a
• 10:48
  lot
• 10:48
  of
• 10:49
  that
• 10:49
  people
• 10:49
  don't
• 10:49
  have
• 10:49
  the
• 10:49
  right
• 10:50
  kind
• 10:50
  of
• 10:50
  data.
• 10:51
  There
• 10:51
  are
• 10:51
  things
• 10:51
  like
• 10:52
  operating
• 10:52
  model
• 10:53
  readiness
• 10:53
  is,
• 10:53
  are
• 10:54
  the
• 10:54
  people
• 10:54
  and
• 10:55
  the
• 10:55
  human
• 10:55
  capital
• 10:55
  of
• 10:56
  the
• 10:56
  business,
• 10:56
  are
• 10:57
  they
• 10:57
  ready
• 10:57
  to
• 10:57
  kind
• 10:57
  of
• 10:58
  deal
• 10:58
  with
• 10:58
  that
• 10:58
  and
• 10:59
  where
• 10:59
  actually
• 11:00
  sits
• 11:00
  within
• 11:00
  your
• 11:00
  business?
• 11:01
  That's,
• 11:01
  that's
• 11:01
  another
• 11:01
  gap
• 11:02
  that
• 11:02
  we
• 11:02
  need
• 11:02
  to
• 11:02
  figure
• 11:02
  out.
• 11:03
  To
• 11:04
  your
• 11:04
  point,
• 11:04
  on
• 11:04
  pilots,
• 11:06
  I
• 11:06
  think
• 11:06
  I'm
• 11:06
  not
• 11:07
  against
• 11:07
  pilots
• 11:07
  in
• 11:08
  general.
• 11:08
  You
• 11:08
  need
• 11:08
  to
• 11:09
  do
• 11:09
  a
• 11:09
  pilot
• 11:09
  just
• 11:09
  so
• 11:09
  that
• 11:09
  you
• 11:10
  know
• 11:10
  where
• 11:10
  you're
• 11:10
  at
• 11:11
  and
• 11:11
  you
• 11:11
  want
• 11:11
  to
• 11:11
  learn
• 11:11
  things,
• 11:12
  right?
• 11:12
  As
• 11:12
  an
• 11:12
  organization,
• 11:13
  you,
• 11:13
  you
• 11:14
  wouldn't
• 11:14
  go
• 11:14
  ahead
• 11:14
  and
• 11:14
  sign
• 11:15
  up
• 11:15
  to
• 11:15
  something
• 11:15
  that
• 11:15
  you
• 11:15
  have
• 11:16
  no
• 11:16
  clue
• 11:16
  what
• 11:16
  it's
• 11:16
  all
• 11:17
  about.
• 11:17
  Especially
• 11:17
  if
• 11:18
  you're
• 11:18
  going
• 11:18
  to
• 11:18
  sign
• 11:18
  a
• 11:18
  multimillion,
• 11:19
  multi
• 11:20
  year,
• 11:20
  multi
• 11:20
  million
• 11:21
  contract,
• 11:21
  potentially,
• 11:22
  right?
• 11:22
  You
• 11:22
  want
• 11:23
  to
• 11:23
  make
• 11:23
  sure
• 11:23
  that
• 11:23
  you've
• 11:23
  got
• 11:24
  all
• 11:24
  your,
• 11:25
  you
• 11:25
  know,
• 11:25
  you've
• 11:25
  done
• 11:26
  all
• 11:26
  your
• 11:26
  homework
• 11:26
  before
• 11:27
  you
• 11:27
  jump
• 11:27
  into
• 11:27
  it.
• 11:28
  But
• 11:28
  at
• 11:28
  the
• 11:29
  same
• 11:29
  time,
• 11:29
  the
• 11:29
  problem
• 11:30
  with
• 11:31
  AI
• 11:31
  in
• 11:31
  general
• 11:32
  is
• 11:32
  that
• 11:32
  pilot
• 11:33
  fatigue
• 11:33
  of
• 11:33
  some
• 11:34
  sense,
• 11:34
  as
• 11:34
  in
• 11:35
  a
• 11:35
  lot
• 11:35
  of
• 11:35
  businesses
• 11:36
  are
• 11:36
  doing
• 11:36
  a
• 11:36
  lot
• 11:37
  of
• 11:37
  pilots.
• 11:37
  And
• 11:38
  yes,
• 11:39
  some
• 11:39
  of
• 11:39
  these
• 11:39
  will
• 11:39
  come
• 11:39
  back
• 11:39
  with
• 11:40
  value,
• 11:40
  some
• 11:40
  of
• 11:40
  them
• 11:40
  won't
• 11:41
  come
• 11:41
  back
• 11:41
  with
• 11:41
  value.
• 11:42
  And
• 11:42
  I
• 11:42
  think
• 11:42
  what
• 11:42
  we
• 11:43
  really
• 11:43
  need
• 11:43
  to
• 11:43
  think
• 11:43
  about
• 11:44
  is,
• 11:44
  and
• 11:44
  we
• 11:44
  do
• 11:44
  this
• 11:45
  as
• 11:45
  a
• 11:45
  lab
• 11:45
  from
• 11:45
  Experian,
• 11:46
  for
• 11:46
  example,
• 11:47
  which
• 11:47
  is
• 11:47
  all
• 11:47
  about
• 11:48
  getting
• 11:48
  a
• 11:48
  platform
• 11:49
  ready.
• 11:49
  Let's
• 11:50
  get
• 11:50
  your
• 11:50
  platform
• 11:51
  ready
• 11:51
  to
• 11:51
  be
• 11:51
  able
• 11:51
  to
• 11:52
  address
• 11:52
  some
• 11:52
  of
• 11:52
  these
• 11:53
  AI
• 11:54
  initiatives
• 11:55
  as
• 11:55
  it
• 11:55
  happens,
• 11:57
  and
• 11:57
  let's
• 11:57
  bring
• 11:57
  those
• 11:58
  use
• 11:58
  cases
• 11:58
  back
• 11:58
  onto
• 11:59
  the
• 11:59
  forefront.
• 11:59
  Let's
• 11:59
  work
• 11:59
  with
• 12:00
  the
• 12:00
  businesses
• 12:00
  to
• 12:00
  try
• 12:00
  and
• 12:01
  figure
• 12:01
  out
• 12:01
  what
• 12:01
  are
• 12:02
  the
• 12:02
  high
• 12:02
  priorities
• 12:02
  and
• 12:03
  by
• 12:03
  the
• 12:03
  way,
• 12:03
  this
• 12:03
  is
• 12:03
  not
• 12:04
  just
• 12:05
  the
• 12:05
  retail
• 12:05
  sector
• 12:05
  that's
• 12:06
  actually
• 12:06
  facing
• 12:06
  it.
• 12:06
  I
• 12:07
  think
• 12:07
  it's
• 12:07
  right
• 12:07
  across
• 12:08
  because
• 12:08
  again,
• 12:09
  as
• 12:09
  a
• 12:09
  head
• 12:09
  of
• 12:10
  data
• 12:10
  for
• 12:10
  Experian,
• 12:10
  I
• 12:11
  get
• 12:11
  pulled
• 12:11
  into
• 12:11
  financial
• 12:12
  services
• 12:12
  conversations
• 12:13
  or
• 12:13
  insurance
• 12:13
  conversations,
• 12:14
  which
• 12:14
  are
• 12:15
  having
• 12:15
  very
• 12:15
  similar
• 12:16
  trends
• 12:16
  as
• 12:17
  well.
• 12:17
  Right.
• 12:17
  So
• 12:17
  bringing
• 12:18
  a
• 12:18
  platform
• 12:19
  front
• 12:19
  in
• 12:19
  the
• 12:20
  forefront
• 12:20
  and
• 12:20
  then
• 12:21
  trying
• 12:21
  to
• 12:21
  think
• 12:21
  about
• 12:22
  it
• 12:22
  as
• 12:22
  well.
• 12:22
  I've
• 12:23
  enabled
• 12:23
  the
• 12:24
  capability
• 12:24
  to
• 12:25
  try
• 12:25
  and
• 12:25
  test
• 12:26
  out
• 12:26
  AI
• 12:27
  and
• 12:27
  bring
• 12:27
  all
• 12:27
  the
• 12:27
  use
• 12:28
  cases,
• 12:28
  do
• 12:28
  the
• 12:28
  prioritization,
• 12:29
  try
• 12:29
  and
• 12:30
  learn.
• 12:30
  And
• 12:30
  as
• 12:31
  you
• 12:31
  see
• 12:31
  some
• 12:31
  of
• 12:31
  those
• 12:31
  things
• 12:32
  that
• 12:32
  are
• 12:32
  worth
• 12:33
  pursuing
• 12:33
  further,
• 12:34
  you
• 12:34
  then
• 12:34
  have
• 12:35
  the
• 12:35
  platform
• 12:35
  to,
• 12:35
  then
• 12:36
  that
• 12:36
  allows
• 12:36
  you
• 12:36
  to
• 12:37
  scale
• 12:37
  up.
• 12:37
  And
• 12:37
  if
• 12:38
  it's
• 12:38
  an
• 12:38
  idea
• 12:39
  that
• 12:39
  didn't
• 12:39
  have
• 12:40
  legs,
• 12:40
  then
• 12:40
  you
• 12:41
  don't
• 12:41
  want
• 12:41
  to
• 12:41
  take
• 12:41
  it.
• 12:41
  You've
• 12:42
  learned
• 12:42
  a
• 12:42
  lesson,
• 12:42
  you
• 12:42
  move
• 12:43
  on
• 12:43
  to
• 12:43
  the
• 12:43
  next
• 12:43
  one.
• 12:43
  Right.
• 12:43
  So
• 12:44
  I
• 12:44
  think
• 12:44
  you
• 12:45
  have
• 12:45
  to
• 12:45
  move
• 12:45
  away
• 12:45
  from
• 12:45
  pilots
• 12:46
  into
• 12:46
  platform.
• 12:47
  And
• 12:47
  I
• 12:47
  think
• 12:47
  that's
• 12:47
  where
• 12:48
  I
• 12:48
  think
• 12:48
  we're
• 12:48
  probably
• 12:49
  going
• 12:49
  around
• 12:49
  the
• 12:50
  circles
• 12:50
  a
• 12:50
  bit
• 12:51
  more.
• 12:51
  Right,
• 12:52
  got
• 12:52
  it.
• 12:52
  So
• 12:52
  kind
• 12:53
  of
• 12:53
  the
• 12:53
  go
• 12:53
  slow
• 12:53
  to
• 12:54
  go
• 12:54
  fast
• 12:54
  approach
• 12:54
  is
• 12:55
  what
• 12:55
  you
• 12:55
  just.
• 12:56
  Basically
• 12:56
  what
• 12:56
  I
• 12:57
  take
• 12:57
  from
• 12:57
  what
• 12:57
  you
• 12:57
  just
• 12:57
  said
• 12:57
  is
• 12:57
  like,
• 12:57
  you've
• 12:58
  got
• 12:58
  to
• 12:58
  get
• 12:58
  your
• 12:58
  piping,
• 12:58
  you've
• 12:59
  got
• 12:59
  to
• 12:59
  get
• 12:59
  your
• 12:59
  piping
• 13:00
  done
• 13:00
  correctly,
• 13:01
  your
• 13:01
  frameworks
• 13:02
  done
• 13:02
  correctly,
• 13:02
  your
• 13:02
  platform
• 13:03
  correctly.
• 13:04
  So
• 13:04
  one
• 13:04
  of
• 13:04
  the
• 13:04
  other
• 13:04
  things
• 13:05
  that
• 13:07
  I
• 13:07
  wanted
• 13:08
  to
• 13:08
  ask
• 13:08
  you
• 13:08
  that
• 13:08
  you
• 13:08
  made
• 13:09
  me
• 13:09
  think
• 13:09
  about
• 13:09
  is
• 13:09
  I
• 13:10
  was
• 13:10
  at
• 13:10
  FMI
• 13:10
  recently
• 13:11
  and
• 13:11
  I
• 13:11
  was
• 13:11
  talking
• 13:11
  to
• 13:12
  a
• 13:12
  grocer
• 13:13
  out
• 13:13
  there,
• 13:13
  a
• 13:13
  CTO
• 13:14
  of
• 13:14
  a
• 13:14
  major
• 13:14
  U.S.
• 13:15
  grocer,
• 13:15
  top
• 13:16
  100
• 13:16
  U.S.
• 13:17
  groceries
• 13:18
  or
• 13:18
  top
• 13:19
  100
• 13:19
  U.S.
• 13:19
  retailer
• 13:20
  that
• 13:20
  is
• 13:20
  a
• 13:20
  grocer,
• 13:20
  so
• 13:21
  big
• 13:21
  grocer.
• 13:22
  And
• 13:22
  she
• 13:22
  was
• 13:22
  saying
• 13:22
  to
• 13:23
  me
• 13:23
  that,
• 13:23
  you
• 13:23
  know,
• 13:23
  I
• 13:24
  think
• 13:24
  she,
• 13:24
  it
• 13:24
  sounded
• 13:25
  like
• 13:25
  she's
• 13:25
  taking
• 13:25
  the
• 13:26
  approach
• 13:26
  that
• 13:26
  you're,
• 13:27
  you're
• 13:27
  espousing
• 13:28
  here,
• 13:28
  which
• 13:28
  is
• 13:29
  that
• 13:29
  she's
• 13:29
  talked,
• 13:30
  she
• 13:30
  Talked
• 13:30
  about
• 13:30
  the
• 13:31
  LLMs
• 13:31
  particularly
• 13:32
  being
• 13:33
  eventually
• 13:34
  becoming
• 13:34
  commodities
• 13:35
  and
• 13:35
  therefore
• 13:35
  they
• 13:36
  wanted
• 13:36
  to
• 13:36
  invest
• 13:36
  in
• 13:37
  creating,
• 13:37
  creating
• 13:38
  their
• 13:38
  own
• 13:39
  LLM
• 13:39
  platform,
• 13:40
  so
• 13:40
  to
• 13:40
  speak,
• 13:41
  for
• 13:41
  their
• 13:41
  business.
• 13:42
  What
• 13:42
  do
• 13:43
  you
• 13:43
  think
• 13:43
  about
• 13:43
  that
• 13:43
  approach?
• 13:43
  Is
• 13:44
  that
• 13:44
  in
• 13:44
  right
• 13:44
  in
• 13:44
  line
• 13:45
  with
• 13:45
  what
• 13:45
  you
• 13:45
  were
• 13:45
  saying
• 13:46
  or
• 13:46
  what
• 13:46
  is
• 13:46
  the
• 13:46
  nuance
• 13:47
  there?
• 13:48
  So,
• 13:48
  yes,
• 13:48
  it
• 13:49
  is
• 13:49
  getting
• 13:49
  to
• 13:49
  a
• 13:49
  state
• 13:49
  where
• 13:50
  it's
• 13:50
  actually
• 13:50
  commodities,
• 13:51
  especially
• 13:51
  because
• 13:51
  you've
• 13:52
  got
• 13:52
  a
• 13:52
  lot
• 13:52
  of
• 13:52
  options
• 13:53
  available
• 13:53
  that
• 13:54
  you
• 13:54
  can
• 13:54
  kind
• 13:54
  of
• 13:54
  latch
• 13:55
  onto
• 13:55
  fairly
• 13:55
  quickly.
• 13:56
  So,
• 13:56
  Claude
• 13:57
  Llama,
• 13:58
  GPT4,
• 13:59
  whatever
• 13:59
  those
• 14:00
  are,
• 14:00
  you
• 14:00
  can
• 14:00
  actually
• 14:01
  pretty
• 14:01
  much
• 14:02
  pick
• 14:02
  it
• 14:02
  off
• 14:02
  the
• 14:02
  shelf
• 14:02
  and
• 14:03
  start
• 14:03
  to
• 14:03
  use
• 14:03
  it
• 14:03
  and
• 14:04
  implement
• 14:04
  it
• 14:04
  into
• 14:04
  your
• 14:05
  pipelines.
• 14:07
  And
• 14:07
  so
• 14:07
  really
• 14:08
  I
• 14:08
  think
• 14:09
  there
• 14:09
  are
• 14:09
  only
• 14:10
  two
• 14:10
  ways
• 14:10
  you
• 14:10
  can
• 14:10
  do
• 14:10
  with
• 14:11
  this.
• 14:11
  I
• 14:11
  mean,
• 14:11
  advanced
• 14:12
  organizations,
• 14:12
  people
• 14:13
  who
• 14:13
  have
• 14:13
  a
• 14:13
  data
• 14:13
  science
• 14:14
  team
• 14:14
  and
• 14:14
  have
• 14:14
  done
• 14:15
  a
• 14:15
  lot
• 14:15
  of
• 14:15
  this
• 14:16
  research,
• 14:16
  much
• 14:16
  Ahead
• 14:17
  of
• 14:17
  time
• 14:18
  probably
• 14:18
  will
• 14:19
  get
• 14:19
  into
• 14:19
  this,
• 14:19
  the
• 14:20
  area
• 14:20
  of,
• 14:20
  okay,
• 14:21
  I'm
• 14:21
  going
• 14:21
  to
• 14:21
  build
• 14:21
  something
• 14:22
  that's
• 14:22
  actually
• 14:22
  much
• 14:22
  more
• 14:23
  fine
• 14:23
  tuned
• 14:23
  to
• 14:24
  our
• 14:24
  business
• 14:24
  and
• 14:24
  we
• 14:24
  can
• 14:25
  try
• 14:25
  and
• 14:25
  mimic
• 14:26
  a
• 14:26
  lot
• 14:26
  of
• 14:26
  that.
• 14:26
  But,
• 14:27
  but
• 14:28
  I'd
• 14:28
  argue
• 14:28
  the,
• 14:30
  the
• 14:30
  opportunity
• 14:31
  that
• 14:31
  we
• 14:32
  really
• 14:32
  haven't
• 14:32
  explored
• 14:33
  is
• 14:33
  in
• 14:33
  terms
• 14:34
  of
• 14:34
  how
• 14:34
  you
• 14:34
  bring
• 14:35
  the,
• 14:35
  and
• 14:36
  I
• 14:36
  call
• 14:36
  this
• 14:36
  intelligence
• 14:37
  by
• 14:37
  the
• 14:37
  way.
• 14:37
  Right.
• 14:37
  So
• 14:37
  how
• 14:38
  you
• 14:38
  bring
• 14:38
  that
• 14:38
  intelligence
• 14:39
  better
• 14:40
  to
• 14:40
  use
• 14:41
  along
• 14:41
  the
• 14:41
  models
• 14:42
  that
• 14:42
  you
• 14:42
  have
• 14:42
  as,
• 14:43
  that
• 14:43
  you
• 14:43
  call
• 14:43
  as
• 14:44
  commodities,
• 14:44
  for
• 14:44
  example,
• 14:45
  that
• 14:45
  are
• 14:45
  currently
• 14:45
  available
• 14:46
  straight
• 14:47
  off
• 14:47
  the
• 14:47
  shelf
• 14:48
  for
• 14:48
  anything
• 14:49
  that
• 14:49
  you
• 14:49
  would
• 14:50
  really
• 14:50
  not
• 14:50
  worry
• 14:51
  about
• 14:52
  like,
• 14:52
  you
• 14:53
  know,
• 14:53
  your
• 14:54
  privacy
• 14:55
  or
• 14:55
  your
• 14:56
  cost
• 14:56
  efficiency
• 14:57
  side
• 14:57
  of
• 14:57
  things.
• 14:58
  Let's
• 14:58
  just
• 14:59
  get
• 14:59
  some
• 14:59
  of
• 14:59
  those
• 14:59
  off
• 14:59
  the
• 15:00
  shelf
• 15:00
  models
• 15:00
  and
• 15:01
  let's
• 15:01
  just
• 15:01
  work
• 15:01
  on
• 15:01
  it
• 15:01
  and
• 15:02
  try
• 15:02
  and
• 15:02
  be
• 15:03
  at
• 15:03
  the
• 15:03
  forefront
• 15:04
  because
• 15:04
  you
• 15:04
  can
• 15:04
  solve
• 15:04
  a
• 15:05
  lot
• 15:05
  of
• 15:05
  these
• 15:05
  complex
• 15:05
  problems
• 15:06
  with
• 15:07
  new
• 15:07
  cutting
• 15:08
  edge
• 15:08
  models
• 15:08
  that
• 15:09
  the
• 15:09
  big
• 15:10
  organizations
• 15:10
  out
• 15:11
  there
• 15:11
  are
• 15:11
  actually
• 15:11
  putting
• 15:11
  it
• 15:12
  out
• 15:12
  for
• 15:12
  you.
• 15:12
  Right.
• 15:12
  But
• 15:13
  if
• 15:13
  you
• 15:13
  are
• 15:13
  worried
• 15:14
  about
• 15:14
  things
• 15:14
  like
• 15:14
  oh,
• 15:15
  but
• 15:15
  I
• 15:15
  don't
• 15:15
  want
• 15:15
  my
• 15:16
  data
• 15:16
  to
• 15:16
  be
• 15:17
  out
• 15:17
  there
• 15:17
  or
• 15:17
  I
• 15:18
  don't
• 15:18
  want
• 15:18
  to
• 15:18
  be
• 15:19
  doing
• 15:19
  this
• 15:19
  because
• 15:20
  it's
• 15:20
  going
• 15:20
  to
• 15:20
  just
• 15:20
  cost
• 15:20
  me
• 15:21
  quite
• 15:21
  a
• 15:21
  lot
• 15:21
  just
• 15:21
  to
• 15:22
  run
• 15:22
  tokens
• 15:22
  wise
• 15:22
  and
• 15:23
  everything
• 15:23
  else
• 15:23
  just
• 15:23
  to
• 15:24
  run
• 15:24
  it
• 15:25
  using
• 15:25
  some
• 15:25
  of
• 15:25
  those
• 15:25
  commodities
• 15:26
  that
• 15:26
  you
• 15:26
  talked
• 15:26
  about,
• 15:27
  then
• 15:27
  you
• 15:27
  probably
• 15:28
  want
• 15:28
  to
• 15:28
  take
• 15:28
  consider
• 15:29
  how
• 15:29
  you
• 15:29
  do
• 15:29
  it
• 15:30
  on
• 15:30
  an
• 15:30
  open
• 15:31
  source
• 15:31
  that
• 15:31
  is
• 15:31
  hosted
• 15:32
  internally
• 15:32
  and
• 15:32
  things
• 15:32
  like
• 15:33
  that.
• 15:33
  So
• 15:33
  again,
• 15:34
  from
• 15:34
  a
• 15:34
  solution
• 15:35
  perspective,
• 15:35
  you
• 15:36
  probably
• 15:36
  want
• 15:36
  to
• 15:36
  go
• 15:36
  a
• 15:37
  bit
• 15:37
  hybrid
• 15:37
  in
• 15:38
  terms
• 15:38
  of
• 15:38
  trying
• 15:38
  to
• 15:38
  figure
• 15:39
  out
• 15:40
  which
• 15:40
  is
• 15:40
  the
• 15:40
  right
• 15:41
  one
• 15:41
  for
• 15:41
  your
• 15:41
  business.
• 15:42
  So
• 15:42
  I'm
• 15:42
  going
• 15:42
  to
• 15:42
  say
• 15:42
  it
• 15:43
  depends.
• 15:43
  So
• 15:43
  in
• 15:43
  essence,
• 15:44
  like
• 15:44
  what
• 15:44
  you're
• 15:44
  telling
• 15:44
  me
• 15:44
  is
• 15:44
  like
• 15:45
  you
• 15:45
  could
• 15:45
  actually,
• 15:46
  if
• 15:46
  you
• 15:46
  want
• 15:46
  to
• 15:47
  go
• 15:47
  slow,
• 15:47
  to
• 15:47
  go
• 15:47
  fast,
• 15:47
  you
• 15:48
  could
• 15:48
  actually
• 15:48
  potentially
• 15:48
  end
• 15:48
  up
• 15:49
  going
• 15:49
  too
• 15:49
  slow
• 15:50
  if
• 15:50
  you're
• 15:50
  not
• 15:50
  careful
• 15:51
  in.
• 15:52
  That's
• 15:53
  interesting.
• 15:53
  I've
• 15:53
  never
• 15:53
  thought
• 15:54
  about
• 15:54
  that.
• 15:55
  Okay,
• 15:55
  so
• 15:56
  that
• 15:56
  brings
• 15:56
  up
• 15:57
  my
• 15:57
  next
• 15:57
  question
• 15:58
  really,
• 15:58
  which
• 15:58
  is.
• 15:59
  I've
• 16:00
  heard
• 16:00
  two
• 16:00
  schools
• 16:00
  of
• 16:00
  thought
• 16:00
  on
• 16:01
  this
• 16:01
  next
• 16:02
  question
• 16:02
  too,
• 16:03
  which
• 16:03
  is
• 16:04
  it's
• 16:04
  around
• 16:04
  the
• 16:04
  AI.
• 16:05
  It's
• 16:05
  kind
• 16:05
  of
• 16:05
  in
• 16:05
  the
• 16:06
  realm
• 16:06
  of
• 16:06
  what
• 16:06
  we're
• 16:06
  talking
• 16:06
  about,
• 16:07
  Siraj,
• 16:07
  in
• 16:07
  terms
• 16:07
  of
• 16:07
  how
• 16:07
  do
• 16:08
  you
• 16:08
  actually
• 16:09
  implement
• 16:09
  AI
• 16:09
  effectively
• 16:10
  in
• 16:10
  the
• 16:10
  organization.
• 16:11
  So
• 16:11
  there's
• 16:12
  some
• 16:12
  people
• 16:12
  that
• 16:12
  say,
• 16:13
  you
• 16:13
  know,
• 16:13
  you
• 16:13
  should
• 16:14
  just
• 16:14
  use
• 16:14
  AI
• 16:14
  to
• 16:15
  automate
• 16:15
  all
• 16:15
  the
• 16:16
  repetitive
• 16:16
  tasks,
• 16:16
  that
• 16:17
  you
• 16:17
  can
• 16:17
  just
• 16:17
  get
• 16:17
  the
• 16:18
  efficiency
• 16:18
  from
• 16:18
  automating
• 16:19
  the
• 16:19
  repetition
• 16:20
  and
• 16:20
  automating
• 16:20
  it
• 16:20
  right
• 16:20
  out
• 16:21
  of
• 16:21
  the
• 16:21
  business.
• 16:23
  Or
• 16:23
  you
• 16:23
  can
• 16:24
  use
• 16:24
  AI
• 16:24
  to
• 16:24
  automate
• 16:25
  repetitive
• 16:25
  tasks,
• 16:26
  but
• 16:26
  that
• 16:26
  you
• 16:26
  should
• 16:26
  first
• 16:27
  check
• 16:27
  to
• 16:28
  see
• 16:28
  if
• 16:28
  the
• 16:28
  process
• 16:28
  is
• 16:29
  even
• 16:29
  needed
• 16:29
  to
• 16:29
  begin
• 16:30
  with.
• 16:30
  So
• 16:31
  Siraj,
• 16:32
  first
• 16:32
  you
• 16:32
  and
• 16:32
  then
• 16:33
  to
• 16:33
  Mahesh,
• 16:33
  where
• 16:33
  do
• 16:33
  you
• 16:34
  each
• 16:34
  come
• 16:34
  down
• 16:34
  on
• 16:35
  on
• 16:35
  the
• 16:35
  best
• 16:35
  way
• 16:36
  to
• 16:36
  implement
• 16:36
  AI.
• 16:37
  And
• 16:38
  where's
• 16:38
  the
• 16:38
  nuance
• 16:39
  in
• 16:39
  that
• 16:39
  too?
• 16:39
  Because
• 16:39
  I'm
• 16:40
  guessing
• 16:40
  as
• 16:40
  consultants
• 16:40
  you're
• 16:41
  going
• 16:41
  to
• 16:41
  tell
• 16:41
  me.
• 16:41
  It
• 16:41
  depends,
• 16:42
  but
• 16:42
  I
• 16:42
  want
• 16:42
  to
• 16:42
  get
• 16:42
  your
• 16:43
  opinion.
• 16:43
  I
• 16:44
  think
• 16:44
  you
• 16:45
  know
• 16:45
  the
• 16:45
  answer
• 16:45
  to
• 16:45
  this
• 16:45
  one.
• 16:46
  The
• 16:46
  first
• 16:46
  one,
• 16:46
  I'm
• 16:47
  clearly
• 16:47
  in
• 16:47
  Camp
• 16:48
  2
• 16:48
  by
• 16:48
  the
• 16:48
  way.
• 16:48
  Right.
• 16:48
  So
• 16:50
  that's
• 16:50
  interesting.
• 16:51
  I
• 16:51
  don't
• 16:51
  know
• 16:51
  that
• 16:51
  I
• 16:51
  am,
• 16:51
  but
• 16:52
  keep
• 16:52
  going.
• 16:53
  Yeah,
• 16:53
  because
• 16:53
  the
• 16:54
  first
• 16:54
  one
• 16:54
  I
• 16:54
  think
• 16:54
  is,
• 16:55
  you
• 16:56
  know,
• 16:56
  let's,
• 16:56
  let's
• 16:56
  bring
• 16:57
  AI
• 16:57
  or
• 16:57
  automation
• 16:58
  in
• 16:58
  anything
• 16:58
  that
• 16:58
  is
• 16:58
  repetitive.
• 16:59
  I
• 16:59
  totally
• 17:00
  agree
• 17:00
  with
• 17:00
  it.
• 17:02
  Which
• 17:02
  should
• 17:02
  be
• 17:02
  your
• 17:02
  motto.
• 17:03
  If
• 17:03
  everything
• 17:04
  that
• 17:04
  you
• 17:04
  do
• 17:04
  as
• 17:05
  repetitive
• 17:05
  within
• 17:05
  your
• 17:06
  business
• 17:06
  is
• 17:07
  definitely
• 17:07
  needed
• 17:08
  and,
• 17:08
  and
• 17:08
  is
• 17:09
  something
• 17:09
  that
• 17:09
  you
• 17:09
  want
• 17:09
  to
• 17:09
  carry
• 17:10
  on
• 17:10
  doing,
• 17:10
  right.
• 17:12
  What
• 17:12
  happens
• 17:13
  with
• 17:13
  most
• 17:14
  organizations
• 17:14
  out
• 17:15
  there
• 17:15
  is
• 17:15
  actually
• 17:15
  there
• 17:16
  is
• 17:16
  at
• 17:16
  least
• 17:17
  30
• 17:17
  to
• 17:17
  40%
• 17:18
  of
• 17:18
  fat
• 17:18
  that
• 17:18
  you
• 17:18
  can
• 17:19
  actually
• 17:19
  cut
• 17:19
  off.
• 17:20
  And
• 17:20
  you're
• 17:21
  just
• 17:21
  doing
• 17:21
  it
• 17:21
  because
• 17:21
  the
• 17:22
  guy
• 17:22
  before
• 17:22
  you
• 17:22
  did
• 17:23
  that
• 17:23
  and
• 17:23
  the
• 17:23
  person
• 17:23
  before
• 17:24
  that
• 17:24
  did
• 17:24
  that,
• 17:24
  etc.
• 17:25
  Etc.
• 17:25
  And
• 17:25
  you're
• 17:25
  just
• 17:25
  carrying
• 17:26
  on
• 17:26
  doing
• 17:26
  a
• 17:26
  lot
• 17:26
  of
• 17:26
  this.
• 17:28
  So
• 17:28
  you're
• 17:28
  actually
• 17:29
  just
• 17:29
  gonna
• 17:29
  do
• 17:30
  automate.
• 17:32
  You're
• 17:32
  just
• 17:32
  gonna
• 17:32
  have
• 17:33
  an
• 17:33
  automation
• 17:33
  chaos
• 17:34
  in
• 17:34
  some
• 17:34
  sense
• 17:35
  because
• 17:35
  it's
• 17:35
  just
• 17:35
  gonna
• 17:36
  go
• 17:36
  a
• 17:36
  lot
• 17:37
  of
• 17:37
  failures
• 17:37
  straight
• 17:37
  away,
• 17:38
  very
• 17:38
  quickly.
• 17:39
  But
• 17:39
  I
• 17:39
  think,
• 17:39
  and
• 17:39
  I
• 17:40
  advise
• 17:40
  this
• 17:40
  to
• 17:41
  everyone
• 17:41
  or
• 17:41
  anyone
• 17:42
  who
• 17:42
  asks
• 17:42
  me
• 17:42
  about
• 17:42
  AI,
• 17:43
  stop,
• 17:44
  pause
• 17:44
  and
• 17:44
  think
• 17:45
  because
• 17:45
  you
• 17:45
  wanna
• 17:46
  try
• 17:46
  and
• 17:46
  improve
• 17:47
  the
• 17:47
  process
• 17:48
  that
• 17:48
  you're
• 17:48
  trying
• 17:48
  to
• 17:48
  do,
• 17:48
  right?
• 17:49
  And
• 17:49
  think
• 17:49
  about
• 17:50
  how
• 17:50
  AI
• 17:51
  can
• 17:51
  enable
• 17:52
  you
• 17:52
  to
• 17:52
  do
• 17:52
  that
• 17:52
  much
• 17:53
  better
• 17:53
  and
• 17:54
  in
• 17:54
  a
• 17:54
  much
• 17:54
  more
• 17:54
  creative
• 17:55
  way
• 17:55
  than
• 17:55
  you
• 17:55
  did
• 17:56
  before.
• 17:56
  If
• 17:56
  you
• 17:57
  needed
• 17:57
  five
• 17:57
  people
• 17:57
  to
• 17:57
  do
• 17:58
  that
• 17:58
  before,
• 17:58
  it
• 17:58
  doesn
• 17:59
  need
• 17:59
  five
• 17:59
  agents
• 17:59
  to
• 18:00
  do
• 18:00
  that
• 18:00
  again,
• 18:01
  you
• 18:01
  can
• 18:01
  probably
• 18:03
  make
• 18:03
  sure
• 18:03
  that
• 18:03
  the
• 18:03
  outcome
• 18:04
  is
• 18:04
  what
• 18:04
  you're
• 18:04
  focusing
• 18:05
  on
• 18:05
  and
• 18:05
  you
• 18:06
  can
• 18:06
  look
• 18:06
  at,
• 18:06
  well,
• 18:06
  how
• 18:06
  can
• 18:06
  AI
• 18:07
  get
• 18:07
  me
• 18:07
  there
• 18:07
  quicker
• 18:08
  or
• 18:08
  much
• 18:08
  more
• 18:08
  efficiently?
• 18:10
  I
• 18:10
  think,
• 18:10
  I
• 18:10
  think
• 18:10
  I
• 18:11
  fundamentally
• 18:11
  agree
• 18:11
  with
• 18:12
  you.
• 18:12
  I
• 18:12
  think
• 18:12
  the
• 18:13
  part
• 18:13
  where
• 18:13
  I,
• 18:13
  where
• 18:13
  I
• 18:14
  struggle
• 18:14
  with
• 18:14
  it
• 18:15
  is,
• 18:15
  you
• 18:15
  know,
• 18:15
  I
• 18:16
  think
• 18:16
  about
• 18:16
  retail
• 18:16
  like
• 18:17
  when
• 18:17
  I
• 18:17
  think
• 18:17
  about
• 18:17
  retail
• 18:18
  at
• 18:18
  the
• 18:18
  30,000
• 18:18
  foot
• 18:19
  level,
• 18:19
  it's
• 18:19
  like,
• 18:19
  you
• 18:20
  know,
• 18:20
  the
• 18:20
  job
• 18:20
  is
• 18:20
  to
• 18:20
  get
• 18:21
  products
• 18:21
  to,
• 18:22
  let's
• 18:22
  just
• 18:22
  take
• 18:22
  the
• 18:22
  stores
• 18:22
  as
• 18:23
  example.
• 18:23
  The
• 18:23
  job
• 18:24
  is
• 18:24
  to
• 18:24
  get
• 18:24
  products
• 18:24
  to
• 18:25
  shelves
• 18:25
  for
• 18:25
  people
• 18:25
  to
• 18:26
  buy
• 18:26
  them.
• 18:27
  So
• 18:27
  I
• 18:27
  think
• 18:27
  you're
• 18:27
  right.
• 18:27
  The
• 18:27
  outcomes,
• 18:29
  you're
• 18:29
  not
• 18:29
  going
• 18:29
  to
• 18:29
  transform
• 18:30
  the
• 18:30
  outcomes.
• 18:30
  Right?
• 18:31
  And
• 18:31
  that's
• 18:31
  what
• 18:31
  I
• 18:31
  think.
• 18:32
  People
• 18:32
  get
• 18:33
  lost
• 18:33
  in
• 18:33
  the
• 18:33
  conversation
• 18:34
  about
• 18:34
  AI.
• 18:34
  They
• 18:34
  think
• 18:34
  of
• 18:34
  it
• 18:35
  as
• 18:35
  such
• 18:35
  a
• 18:35
  transformative
• 18:36
  technology.
• 18:36
  But
• 18:36
  at
• 18:37
  the
• 18:37
  end
• 18:37
  of
• 18:37
  the
• 18:37
  day,
• 18:37
  like
• 18:38
  the
• 18:38
  jobs
• 18:38
  you
• 18:38
  have
• 18:38
  to
• 18:39
  get
• 18:39
  done,
• 18:39
  the
• 18:39
  outcomes
• 18:39
  you
• 18:40
  have
• 18:40
  to
• 18:40
  do
• 18:40
  are
• 18:40
  not
• 18:40
  changing.
• 18:41
  So
• 18:41
  let's
• 18:41
  figure
• 18:41
  out
• 18:42
  how
• 18:42
  to
• 18:42
  automate
• 18:43
  those
• 18:43
  or
• 18:43
  take
• 18:43
  as
• 18:43
  much
• 18:44
  repetition
• 18:44
  out
• 18:45
  of
• 18:45
  them.
• 18:45
  But
• 18:46
  to
• 18:46
  your
• 18:46
  point
• 18:46
  about
• 18:47
  like,
• 18:47
  yeah,
• 18:47
  there's
• 18:48
  probably
• 18:48
  a
• 18:48
  lot
• 18:48
  of
• 18:48
  stuff
• 18:48
  that
• 18:48
  just
• 18:49
  doesn't
• 18:49
  need
• 18:49
  to
• 18:49
  be
• 18:49
  done
• 18:50
  that's
• 18:50
  been
• 18:50
  built
• 18:51
  up
• 18:51
  through
• 18:51
  the
• 18:51
  years
• 18:51
  through
• 18:52
  legacy
• 18:53
  debt
• 18:53
  is
• 18:53
  probably
• 18:53
  also
• 18:54
  very
• 18:54
  true.
• 18:55
  So
• 18:55
  it's
• 18:55
  a
• 18:55
  little
• 18:55
  bit
• 18:55
  of
• 18:55
  like
• 18:56
  you
• 18:56
  got
• 18:56
  to
• 18:56
  do
• 18:56
  both
• 18:57
  at
• 18:57
  the
• 18:57
  same
• 18:57
  time.
• 18:58
  You'd
• 18:58
  be
• 18:58
  surprised.
• 18:59
  And
• 18:59
  to
• 18:59
  be
• 18:59
  honest,
• 19:00
  I
• 19:00
  mean,
• 19:00
  I
• 19:00
  think
• 19:00
  you'd
• 19:00
  be.
• 19:01
  If
• 19:01
  you
• 19:01
  stuck
• 19:02
  to
• 19:02
  the
• 19:02
  processes
• 19:03
  that
• 19:03
  you
• 19:03
  had
• 19:03
  before,
• 19:04
  chances
• 19:05
  are
• 19:05
  that
• 19:05
  you're
• 19:05
  going
• 19:06
  to
• 19:06
  re
• 19:06
  engineer
• 19:07
  or
• 19:07
  backward
• 19:08
  engineer
• 19:08
  your
• 19:08
  AI
• 19:09
  to
• 19:09
  mimic
• 19:10
  what
• 19:11
  your
• 19:11
  team
• 19:11
  of
• 19:12
  humans
• 19:12
  used
• 19:12
  to
• 19:12
  do.
• 19:13
  And
• 19:13
  probably
• 19:13
  they
• 19:14
  did
• 19:14
  it
• 19:14
  much
• 19:14
  better
• 19:14
  and
• 19:15
  will
• 19:15
  do
• 19:15
  much
• 19:15
  better
• 19:15
  than
• 19:16
  your
• 19:16
  AI
• 19:16
  can
• 19:16
  do
• 19:16
  because
• 19:17
  there
• 19:17
  won't
• 19:17
  be
• 19:17
  a
• 19:17
  logic
• 19:17
  to
• 19:17
  it.
• 19:18
  But
• 19:18
  that's
• 19:18
  how
• 19:19
  they
• 19:19
  have
• 19:19
  just
• 19:19
  done
• 19:19
  it
• 19:19
  over
• 19:20
  time.
• 19:20
  Right.
• 19:20
  And,
• 19:21
  and
• 19:21
  you
• 19:21
  will
• 19:21
  restrict
• 19:22
  yourself
• 19:22
  in
• 19:22
  that
• 19:23
  creativity
• 19:23
  element,
• 19:24
  I
• 19:24
  think,
• 19:25
  which
• 19:25
  is,
• 19:25
  which
• 19:25
  is
• 19:26
  why
• 19:26
  I
• 19:26
  think
• 19:26
  you
• 19:26
  have
• 19:26
  got
• 19:27
  to
• 19:27
  really
• 19:27
  pause,
• 19:28
  stop
• 19:28
  and
• 19:28
  think
• 19:29
  what
• 19:29
  do
• 19:29
  you
• 19:29
  want
• 19:29
  to
• 19:29
  achieve
• 19:30
  and
• 19:30
  how
• 19:30
  do
• 19:30
  you
• 19:30
  achieve
• 19:31
  that?
• 19:31
  And
• 19:31
  think
• 19:32
  about
• 19:32
  all
• 19:32
  the
• 19:32
  good
• 19:32
  ways
• 19:33
  that
• 19:33
  you
• 19:33
  can
• 19:33
  do
• 19:33
  it
• 19:34
  and
• 19:34
  probably
• 19:35
  make
• 19:35
  a
• 19:35
  lot
• 19:35
  of
• 19:36
  benefits
• 19:37
  or,
• 19:37
  you
• 19:37
  know,
• 19:38
  efficiency
• 19:39
  gains
• 19:39
  in
• 19:39
  the
• 19:39
  process
• 19:40
  as
• 19:40
  well
• 19:40
  as
• 19:40
  you
• 19:40
  do
• 19:40
  it.
• 19:41
  Right.
• 19:41
  Right.
• 19:42
  Wow.
• 19:42
  So
• 19:42
  Mahesh,
• 19:43
  like,
• 19:43
  I'm
• 19:43
  curious,
• 19:43
  so
• 19:44
  same
• 19:44
  question
• 19:44
  you.
• 19:44
  But
• 19:45
  I'm
• 19:45
  also,
• 19:45
  I
• 19:45
  want
• 19:45
  to
• 19:45
  take,
• 19:45
  I
• 19:46
  want
• 19:46
  to
• 19:46
  extend
• 19:46
  it
• 19:46
  a,
• 19:47
  a
• 19:47
  little
• 19:47
  bit
• 19:47
  further
• 19:47
  as
• 19:48
  well.
• 19:48
  So
• 19:48
  like
• 19:48
  what
• 19:49
  are
• 19:49
  you
• 19:49
  actually,
• 19:50
  you
• 19:50
  know,
• 19:50
  being
• 19:50
  that
• 19:50
  you
• 19:50
  focus
• 19:51
  on
• 19:51
  retail
• 19:51
  and
• 19:52
  cpg,
• 19:52
  what
• 19:53
  are
• 19:53
  you
• 19:53
  actually
• 19:53
  hearing
• 19:53
  your
• 19:54
  clients,
• 19:56
  what
• 19:56
  are
• 19:56
  they
• 19:56
  asking
• 19:57
  for,
• 19:57
  like
• 19:57
  in
• 19:58
  regards
• 19:58
  to
• 19:58
  where
• 19:58
  they
• 19:59
  want
• 19:59
  to
• 19:59
  implement
• 19:59
  AI?
• 20:01
  So,
• 20:01
  you
• 20:01
  know,
• 20:02
  I
• 20:02
  was
• 20:02
  talking
• 20:02
  to
• 20:02
  a
• 20:02
  Canadian
• 20:03
  retailer
• 20:03
  last
• 20:03
  week,
• 20:04
  you
• 20:04
  know,
• 20:05
  where,
• 20:05
  you
• 20:05
  know,
• 20:05
  they
• 20:06
  have
• 20:06
  several
• 20:07
  brands
• 20:07
  under
• 20:07
  them.
• 20:08
  So
• 20:08
  I
• 20:08
  was
• 20:08
  talking
• 20:08
  to
• 20:08
  an
• 20:09
  AI
• 20:09
  product
• 20:10
  leader,
• 20:11
  you
• 20:11
  know,
• 20:11
  that
• 20:11
  Canadian
• 20:12
  retailer.
• 20:13
  So
• 20:13
  couple
• 20:14
  of
• 20:14
  things
• 20:14
  you
• 20:14
  know,
• 20:14
  he
• 20:14
  highlighted
• 20:15
  is
• 20:16
  around
• 20:16
  personalization,
• 20:17
  obviously
• 20:18
  agentic
• 20:19
  AI
• 20:19
  and
• 20:20
  how
• 20:20
  to
• 20:20
  bring
• 20:20
  in
• 20:21
  efficiency
• 20:21
  to
• 20:22
  their
• 20:22
  processes.
• 20:23
  So
• 20:23
  those
• 20:23
  were
• 20:23
  on
• 20:24
  a
• 20:24
  broad
• 20:24
  level,
• 20:25
  the
• 20:25
  three
• 20:25
  areas
• 20:25
  that
• 20:26
  he
• 20:26
  touched
• 20:27
  upon.
• 20:28
  So
• 20:29
  their
• 20:29
  ask
• 20:29
  is
• 20:30
  simple.
• 20:30
  They
• 20:30
  are
• 20:31
  not
• 20:31
  asking
• 20:31
  us
• 20:31
  to
• 20:32
  bring
• 20:33
  AI,
• 20:33
  but
• 20:33
  they
• 20:34
  are
• 20:34
  asking
• 20:34
  for
• 20:34
  better
• 20:35
  decisions,
• 20:36
  faster
• 20:36
  execution
• 20:37
  and
• 20:37
  less
• 20:38
  wastage
• 20:39
  of
• 20:39
  time,
• 20:39
  effort
• 20:39
  and
• 20:40
  energy
• 20:40
  and
• 20:40
  all
• 20:40
  that.
• 20:41
  So
• 20:41
  on
• 20:41
  the
• 20:41
  personalization
• 20:43
  front,
• 20:43
  I
• 20:43
  think
• 20:43
  the
• 20:44
  ask
• 20:44
  has
• 20:44
  shifted
• 20:44
  a
• 20:44
  little
• 20:45
  bit.
• 20:46
  They
• 20:46
  aren't
• 20:47
  chasing
• 20:47
  hyper
• 20:48
  personalization
• 20:49
  for
• 20:50
  the
• 20:50
  sake
• 20:50
  of
• 20:50
  going
• 20:51
  for
• 20:51
  it
• 20:51
  anymore.
• 20:52
  They
• 20:52
  are
• 20:52
  asking
• 20:52
  questions
• 20:53
  like
• 20:53
  how
• 20:54
  do
• 20:54
  I
• 20:54
  personalize
• 20:54
  without
• 20:55
  blowing
• 20:56
  up
• 20:56
  my
• 20:56
  margins?
• 20:57
  Or
• 20:57
  how
• 20:57
  do
• 20:57
  I
• 20:57
  personalize
• 20:58
  across
• 20:58
  brands
• 20:59
  and
• 20:59
  how
• 20:59
  do
• 20:59
  I
• 20:59
  do
• 21:00
  it
• 21:00
  in
• 21:00
  real
• 21:00
  time?
• 21:00
  Those
• 21:01
  are
• 21:01
  the
• 21:01
  kind
• 21:01
  of
• 21:02
  questions
• 21:02
  they
• 21:02
  are
• 21:02
  asking
• 21:02
  right
• 21:03
  now.
• 21:04
  So
• 21:04
  I
• 21:04
  think
• 21:05
  personalization
• 21:05
  is
• 21:06
  moving
• 21:07
  from
• 21:08
  the,
• 21:09
  from
• 21:09
  the
• 21:09
  marketing
• 21:10
  experiments
• 21:11
  to
• 21:12
  kind
• 21:12
  of,
• 21:12
  you
• 21:12
  know,
• 21:12
  an
• 21:12
  operational
• 21:13
  personalization,
• 21:14
  you
• 21:14
  know,
• 21:14
  on,
• 21:15
  on
• 21:15
  offers
• 21:16
  on
• 21:16
  assortments,
• 21:17
  on
• 21:17
  content
• 21:17
  and
• 21:18
  so
• 21:18
  on.
• 21:19
  Right.
• 21:20
  So
• 21:20
  the,
• 21:21
  the
• 21:22
  second
• 21:22
  big
• 21:22
  ask
• 21:23
  is
• 21:23
  around
• 21:24
  agentic
• 21:24
  capabilities.
• 21:25
  Right?
• 21:25
  Agentic.
• 21:26
  Okay,
• 21:26
  agentic
• 21:27
  capabilities.
• 21:27
  Yeah.
• 21:28
  So
• 21:29
  clients
• 21:30
  actually
• 21:30
  don't
• 21:31
  want
• 21:32
  AI
• 21:33
  that
• 21:33
  just
• 21:33
  recommends,
• 21:34
  you
• 21:34
  know,
• 21:34
  they
• 21:35
  wanted
• 21:35
  AI
• 21:35
  that
• 21:36
  acts
• 21:36
  within
• 21:37
  guardrails.
• 21:38
  So
• 21:38
  what
• 21:38
  that
• 21:38
  means
• 21:39
  is
• 21:39
  that,
• 21:39
  you
• 21:39
  know,
• 21:39
  agents
• 21:40
  that
• 21:40
  can
• 21:40
  monitor
• 21:41
  inventory
• 21:41
  and
• 21:42
  trigger
• 21:42
  replenishment,
• 21:43
  you
• 21:44
  know,
• 21:44
  agents
• 21:44
  can
• 21:44
  flag
• 21:45
  an
• 21:45
  anomaly
• 21:46
  before
• 21:46
  humans
• 21:46
  can
• 21:47
  notice
• 21:47
  it
• 21:47
  and
• 21:48
  all
• 21:48
  that
• 21:48
  kind
• 21:48
  of
• 21:49
  things.
• 21:50
  And
• 21:50
  third
• 21:51
  thing
• 21:51
  is,
• 21:51
  you
• 21:51
  know,
• 21:52
  obviously
• 21:52
  the
• 21:52
  efficiency,
• 21:53
  wherein
• 21:55
  I
• 21:55
  think,
• 21:56
  you
• 21:56
  know,
• 21:56
  that
• 21:56
  is
• 21:56
  the
• 21:56
  loudest
• 21:57
  task
• 21:57
  right
• 21:57
  now.
• 21:57
  You
• 21:58
  know,
• 21:58
  bringing
• 21:58
  in
• 21:58
  efficiency
• 21:59
  into
• 21:59
  what
• 22:01
  processes
• 22:01
  they
• 22:01
  are,
• 22:02
  you
• 22:02
  know,
• 22:03
  handling.
• 22:04
  So
• 22:04
  I
• 22:05
  know
• 22:05
  we
• 22:05
  all
• 22:06
  know
• 22:06
  that
• 22:06
  retailers
• 22:07
  are
• 22:07
  under
• 22:08
  really
• 22:08
  tight
• 22:09
  margin
• 22:09
  pressure
• 22:10
  and
• 22:10
  they
• 22:10
  are
• 22:11
  asking
• 22:11
  questions
• 22:11
  like
• 22:12
  how
• 22:12
  do
• 22:12
  I
• 22:13
  run
• 22:13
  a
• 22:13
  leaner
• 22:15
  program
• 22:17
  without
• 22:17
  degrading
• 22:18
  the
• 22:18
  customer
• 22:18
  experience?
• 22:19
  Or
• 22:20
  where
• 22:20
  can
• 22:20
  I
• 22:21
  bring
• 22:21
  in
• 22:21
  automation
• 22:22
  that
• 22:22
  can
• 22:23
  remove
• 22:23
  friction
• 22:24
  and
• 22:24
  not
• 22:24
  the
• 22:24
  people.
• 22:25
  So
• 22:25
  those
• 22:26
  kind
• 22:26
  of
• 22:26
  questions
• 22:26
  are
• 22:27
  what
• 22:27
  we
• 22:28
  are
• 22:28
  hearing
• 22:29
  from
• 22:29
  our
• 22:29
  customers
• 22:29
  on
• 22:29
  the
• 22:30
  efficiency
• 22:30
  side.
• 22:31
  So
• 22:32
  that
• 22:32
  is
• 22:32
  showing
• 22:33
  up
• 22:33
  in
• 22:33
  areas
• 22:34
  like
• 22:35
  forecast
• 22:35
  accuracy,
• 22:36
  shrink
• 22:37
  reduction,
• 22:37
  labor
• 22:38
  optimizations
• 22:39
  and
• 22:39
  so
• 22:39
  on.
• 22:41
  So
• 22:42
  that's
• 22:42
  about
• 22:43
  efficiency
• 22:44
  today.
• 22:45
  It's
• 22:45
  not
• 22:45
  about
• 22:45
  cost
• 22:46
  cutting.
• 22:46
  It
• 22:46
  is
• 22:46
  about
• 22:48
  the
• 22:48
  speed
• 22:48
  of
• 22:49
  making
• 22:49
  the
• 22:49
  decisions
• 22:50
  or
• 22:50
  decision
• 22:51
  velocity.
• 22:51
  I
• 22:51
  would
• 22:51
  say
• 22:53
  the
• 22:53
  one
• 22:53
  downside
• 22:54
  to
• 22:54
  how
• 22:54
  you
• 22:54
  answered
• 22:55
  that
• 22:55
  question,
• 22:55
  it
• 22:55
  was
• 22:55
  very
• 22:56
  high
• 22:56
  level.
• 22:56
  They
• 22:57
  said
• 22:57
  they're
• 22:57
  focus
• 22:57
  on
• 22:58
  personalization,
• 22:58
  they're
• 22:59
  focused
• 22:59
  on
• 22:59
  implementing
• 23:00
  agentic,
• 23:00
  they're
• 23:00
  focused
• 23:01
  on
• 23:01
  getting
• 23:01
  efficiency.
• 23:04
  And
• 23:04
  so
• 23:04
  yeah,
• 23:04
  and
• 23:05
  in
• 23:05
  a
• 23:05
  way
• 23:05
  I
• 23:05
  can
• 23:05
  understand
• 23:06
  that.
• 23:06
  But
• 23:06
  at
• 23:06
  the
• 23:06
  same
• 23:07
  time
• 23:07
  I'm
• 23:07
  like,
• 23:08
  those
• 23:08
  are
• 23:09
  almost
• 23:09
  really
• 23:09
  high
• 23:10
  level
• 23:10
  buckets.
• 23:11
  So
• 23:11
  my,
• 23:11
  my
• 23:12
  obvious
• 23:12
  question
• 23:12
  for
• 23:13
  me
• 23:13
  is
• 23:14
  like,
• 23:14
  do
• 23:15
  they
• 23:15
  actually
• 23:15
  know
• 23:15
  where
• 23:16
  to
• 23:16
  start?
• 23:16
  Or
• 23:17
  you
• 23:17
  know,
• 23:17
  are
• 23:18
  they
• 23:18
  kind
• 23:18
  of
• 23:19
  just
• 23:20
  throwing
• 23:20
  those
• 23:20
  buckets
• 23:21
  out
• 23:21
  there
• 23:21
  to
• 23:21
  you?
• 23:21
  Because
• 23:22
  that's
• 23:22
  the
• 23:22
  buckets
• 23:22
  they
• 23:23
  hear
• 23:23
  and
• 23:23
  expect
• 23:23
  and
• 23:24
  that's
• 23:24
  where
• 23:24
  they
• 23:24
  think
• 23:24
  they
• 23:25
  should
• 23:25
  be.
• 23:26
  Yeah,
• 23:27
  most
• 23:27
  of
• 23:27
  them
• 23:27
  actually
• 23:28
  know
• 23:28
  what
• 23:28
  they
• 23:28
  want,
• 23:30
  but
• 23:30
  they
• 23:30
  are
• 23:30
  not
• 23:31
  actually
• 23:31
  sure
• 23:31
  where
• 23:32
  to
• 23:32
  begin.
• 23:34
  That's
• 23:34
  a
• 23:34
  stage
• 23:35
  where
• 23:35
  they
• 23:35
  are,
• 23:36
  they
• 23:36
  feel
• 23:36
  the
• 23:37
  urgency,
• 23:37
  but
• 23:38
  the
• 23:38
  starting
• 23:39
  line
• 23:39
  is
• 23:39
  a
• 23:39
  little
• 23:39
  fussy
• 23:40
  because
• 23:41
  everything
• 23:42
  looks
• 23:42
  like
• 23:42
  a
• 23:43
  priority.
• 23:46
  What
• 23:46
  we
• 23:46
  see
• 23:46
  work
• 23:47
  is
• 23:47
  actually
• 23:47
  starting
• 23:48
  where
• 23:49
  the
• 23:50
  decision
• 23:50
  is
• 23:50
  frequent
• 23:51
  or
• 23:51
  the
• 23:51
  pain
• 23:52
  is
• 23:52
  miserable.
• 23:53
  And
• 23:53
  also,
• 23:53
  you
• 23:54
  know,
• 23:54
  the
• 23:54
  data
• 23:54
  already
• 23:54
  exists.
• 23:55
  So
• 23:56
  that
• 23:56
  is
• 23:56
  where,
• 23:57
  you
• 23:57
  know,
• 23:57
  I
• 23:57
  would
• 23:58
  say
• 23:58
  that,
• 23:58
  you
• 23:58
  know,
• 23:59
  the
• 24:00
  retailers
• 24:00
  should
• 24:00
  start
• 24:01
  their
• 24:01
  journey.
• 24:02
  Chris,
• 24:02
  I
• 24:03
  was
• 24:03
  just
• 24:03
  going
• 24:03
  to
• 24:03
  add
• 24:04
  just
• 24:04
  onto
• 24:04
  that,
• 24:05
  remember
• 24:06
  the
• 24:06
  lab
• 24:06
  functionality
• 24:07
  that
• 24:07
  we
• 24:07
  talked
• 24:07
  about
• 24:08
  that
• 24:08
  I
• 24:08
  mentioned
• 24:09
  earlier?
• 24:10
  We
• 24:10
  do
• 24:10
  a
• 24:11
  lot
• 24:11
  of
• 24:11
  this
• 24:11
  prioritization
• 24:12
  with
• 24:12
  businesses
• 24:13
  because
• 24:14
  that
• 24:15
  high
• 24:15
  list
• 24:16
  of
• 24:16
  use
• 24:16
  cases,
• 24:17
  some
• 24:17
  of
• 24:17
  those
• 24:17
  organizations
• 24:18
  who
• 24:18
  are
• 24:18
  really
• 24:18
  into
• 24:19
  it
• 24:19
  might
• 24:19
  come
• 24:19
  back
• 24:20
  to
• 24:20
  you
• 24:20
  with,
• 24:20
  well,
• 24:20
  I've
• 24:20
  got
• 24:21
  hundred
• 24:21
  of
• 24:21
  use
• 24:21
  cases
• 24:22
  that
• 24:22
  I
• 24:22
  can
• 24:22
  actually
• 24:22
  use
• 24:23
  AI
• 24:23
  for.
• 24:24
  And
• 24:24
  now
• 24:24
  I
• 24:24
  don't
• 24:25
  know
• 24:25
  where
• 24:25
  to
• 24:25
  start.
• 24:26
  Some
• 24:26
  people
• 24:26
  might
• 24:26
  come
• 24:26
  back
• 24:26
  and
• 24:27
  say,
• 24:27
  well,
• 24:27
  I
• 24:27
  know
• 24:27
  I
• 24:27
  need
• 24:28
  to
• 24:28
  use
• 24:28
  Agent
• 24:28
  tki,
• 24:29
  but
• 24:29
  I
• 24:29
  have
• 24:29
  no
• 24:29
  idea
• 24:29
  where
• 24:30
  to
• 24:30
  start.
• 24:30
  Right.
• 24:30
  So.
• 24:31
  And
• 24:31
  you
• 24:31
  get
• 24:31
  these
• 24:32
  spectrum
• 24:33
  of
• 24:33
  people
• 24:33
  on
• 24:33
  both
• 24:33
  sides
• 24:34
  quite
• 24:34
  a
• 24:34
  bit.
• 24:35
  And
• 24:36
  for
• 24:36
  those
• 24:36
  with
• 24:36
  hundreds
• 24:37
  of
• 24:37
  use
• 24:37
  cases,
• 24:37
  what
• 24:38
  I'd
• 24:38
  say
• 24:38
  is
• 24:39
  there
• 24:39
  are
• 24:40
  ways
• 24:40
  you
• 24:40
  can
• 24:40
  get
• 24:40
  around
• 24:41
  it.
• 24:41
  As
• 24:41
  a
• 24:41
  consultant.
• 24:41
  Well,
• 24:42
  who's
• 24:43
  a
• 24:43
  consultant
• 24:43
  who
• 24:43
  doesn't
• 24:43
  have
• 24:44
  a
• 24:44
  grid,
• 24:45
  right.
• 24:45
  A
• 24:45
  quadrant
• 24:45
  that
• 24:46
  we
• 24:46
  can't
• 24:46
  put
• 24:46
  all
• 24:46
  of
• 24:46
  these
• 24:47
  use
• 24:47
  cases
• 24:47
  into?
• 24:48
  We'd
• 24:49
  go,
• 24:49
  Mahesh,
• 24:49
  touched
• 24:50
  upon
• 24:50
  it,
• 24:50
  looked
• 24:50
  at
• 24:51
  it,
• 24:51
  look
• 24:51
  at
• 24:51
  it
• 24:51
  from
• 24:51
  a
• 24:51
  business
• 24:52
  value
• 24:52
  perspective,
• 24:53
  look
• 24:53
  at
• 24:53
  it
• 24:53
  from
• 24:53
  data
• 24:53
  availability
• 24:54
  perspective,
• 24:55
  look
• 24:55
  at
• 24:55
  it
• 24:55
  from
• 24:55
  a
• 24:55
  complexity
• 24:56
  of
• 24:56
  the
• 24:56
  solution
• 24:57
  perspective,
• 24:57
  do
• 24:58
  a
• 24:58
  weightage
• 24:58
  and
• 24:59
  that
• 24:59
  will
• 24:59
  actually
• 24:59
  get
• 24:59
  you
• 24:59
  to
• 25:00
  some
• 25:00
  sort
• 25:00
  of
• 25:00
  a
• 25:00
  prioritization
• 25:01
  that
• 25:01
  you
• 25:01
  can
• 25:02
  figure
• 25:02
  out
• 25:02
  what's
• 25:03
  the
• 25:03
  right
• 25:03
  approach
• 25:04
  for
• 25:04
  those
• 25:04
  who
• 25:05
  do
• 25:05
  not
• 25:06
  yet
• 25:06
  know
• 25:06
  where
• 25:06
  to
• 25:06
  start.
• 25:07
  I
• 25:07
  think
• 25:07
  that's
• 25:08
  where
• 25:08
  you'd
• 25:08
  want
• 25:08
  to
• 25:09
  sort
• 25:09
  of
• 25:09
  lean
• 25:09
  in
• 25:09
  on
• 25:10
  experts
• 25:10
  or,
• 25:11
  you
• 25:11
  know,
• 25:11
  consultants
• 25:12
  or
• 25:12
  whoever
• 25:12
  to
• 25:12
  try
• 25:13
  and
• 25:13
  get
• 25:13
  some
• 25:13
  ideas
• 25:14
  around
• 25:14
  what
• 25:14
  are
• 25:14
  the
• 25:15
  values
• 25:15
  that
• 25:15
  this
• 25:16
  can
• 25:16
  actually
• 25:16
  bring
• 25:16
  back
• 25:17
  to
• 25:17
  the
• 25:17
  business.
• 25:17
  I
• 25:18
  was
• 25:18
  actually
• 25:18
  surprised,
• 25:18
  Mahesh,
• 25:19
  when
• 25:19
  you
• 25:19
  talked
• 25:19
  about
• 25:20
  your
• 25:20
  Canadian
• 25:20
  retailer
• 25:21
  conversation,
• 25:22
  all
• 25:22
  the
• 25:22
  discussions
• 25:22
  there
• 25:23
  were
• 25:23
  actually
• 25:23
  business
• 25:23
  outcomes,
• 25:24
  right?
• 25:24
  So
• 25:24
  we
• 25:25
  were
• 25:25
  talking
• 25:25
  about
• 25:25
  shrinkage.
• 25:26
  You're
• 25:26
  talking
• 25:26
  about,
• 25:27
  these
• 25:28
  are
• 25:28
  all
• 25:28
  business
• 25:28
  outcomes.
• 25:29
  So
• 25:29
  then
• 25:30
  the,
• 25:30
  the
• 25:31
  point
• 25:31
  would
• 25:31
  be
• 25:31
  how
• 25:32
  do
• 25:32
  you
• 25:32
  do
• 25:32
  some
• 25:33
  of
• 25:33
  those
• 25:33
  out
• 25:33
  of
• 25:34
  stock,
• 25:34
  you
• 25:34
  know,
• 25:34
  in
• 25:35
  time
• 25:35
  orders,
• 25:36
  and
• 25:36
  how
• 25:36
  do
• 25:36
  you
• 25:36
  make
• 25:36
  sure
• 25:37
  that
• 25:37
  your
• 25:37
  supply
• 25:37
  chain
• 25:37
  is
• 25:38
  actually
• 25:38
  ready
• 25:38
  to
• 25:39
  cater
• 25:39
  to
• 25:39
  what
• 25:39
  your
• 25:40
  customers
• 25:40
  need?
• 25:41
  Then
• 25:41
  we
• 25:42
  can
• 25:42
  help
• 25:42
  you
• 25:42
  with
• 25:42
  that.
• 25:42
  Or
• 25:43
  some
• 25:43
  of
• 25:43
  the,
• 25:43
  your
• 25:43
  technical
• 25:44
  teams
• 25:44
  can
• 25:44
  help
• 25:44
  you
• 25:45
  with
• 25:45
  that,
• 25:45
  your
• 25:45
  IT
• 25:45
  teams
• 25:46
  can
• 25:46
  help
• 25:46
  you
• 25:46
  with
• 25:46
  that.
• 25:46
  So
• 25:47
  there
• 25:47
  is
• 25:47
  a
• 25:47
  conversation
• 25:47
  that
• 25:48
  you
• 25:48
  need
• 25:48
  to
• 25:48
  have,
• 25:49
  which
• 25:49
  we
• 25:50
  often
• 25:50
  see
• 25:50
  as
• 25:50
  sort
• 25:51
  of
• 25:51
  workshops
• 25:51
  or
• 25:51
  things
• 25:52
  where
• 25:52
  you
• 25:52
  bring
• 25:52
  some
• 25:53
  of
• 25:53
  those
• 25:53
  business
• 25:54
  challenges
• 25:55
  and
• 25:55
  then
• 25:55
  try
• 25:55
  to
• 25:55
  figure
• 25:56
  out,
• 25:56
  well,
• 25:56
  how
• 25:56
  do
• 25:56
  you
• 25:56
  do
• 25:56
  that
• 25:57
  with
• 25:57
  it?
• 25:58
  Yeah,
• 25:58
  an
• 25:59
  outcome
• 25:59
  approach
• 25:59
  when
• 25:59
  it's
• 26:00
  aligned
• 26:00
  to
• 26:00
  the
• 26:00
  P
• 26:00
  and
• 26:00
  L,
• 26:00
  I
• 26:00
  think
• 26:01
  GAS
• 26:01
  make
• 26:01
  a
• 26:01
  lot
• 26:01
  of
• 26:01
  sense.
• 26:02
  The
• 26:02
  other
• 26:02
  question
• 26:02
  it
• 26:03
  brings
• 26:03
  up
• 26:03
  to
• 26:03
  me,
• 26:03
  Siraj,
• 26:04
  is
• 26:04
  like,
• 26:05
  as
• 26:06
  I
• 26:06
  go
• 26:06
  to
• 26:06
  all
• 26:06
  these
• 26:06
  conferences
• 26:07
  and
• 26:07
  when
• 26:08
  I
• 26:08
  read
• 26:08
  the
• 26:08
  headlines
• 26:08
  every
• 26:09
  day
• 26:09
  too,
• 26:10
  it
• 26:10
  seems
• 26:10
  like
• 26:10
  everything
• 26:11
  is
• 26:11
  focused
• 26:11
  on
• 26:11
  the
• 26:12
  consumer
• 26:13
  facing
• 26:13
  side
• 26:14
  of
• 26:14
  AI
• 26:15
  and
• 26:15
  its
• 26:15
  implementations
• 26:16
  versus
• 26:16
  the
• 26:16
  internal
• 26:17
  focus
• 26:17
  side
• 26:18
  of
• 26:18
  it
• 26:18
  too.
• 26:19
  I
• 26:19
  mean,
• 26:20
  is,
• 26:21
  is
• 26:21
  my
• 26:22
  impression
• 26:22
  correct
• 26:22
  and
• 26:23
  is
• 26:23
  there
• 26:23
  a
• 26:23
  right
• 26:23
  or
• 26:24
  wrong
• 26:24
  way
• 26:24
  that
• 26:24
  you
• 26:24
  would
• 26:25
  advise
• 26:25
  people
• 26:25
  to
• 26:25
  go
• 26:25
  about
• 26:26
  this
• 26:26
  first?
• 26:26
  Because
• 26:26
  like,
• 26:27
  from
• 26:27
  my
• 26:27
  perspective,
• 26:27
  I'd
• 26:28
  be
• 26:28
  looking
• 26:28
  at
• 26:28
  the
• 26:28
  internal
• 26:29
  applications
• 26:30
  of
• 26:30
  AI
• 26:31
  well
• 26:31
  in
• 26:32
  advance
• 26:32
  before
• 26:32
  I'd
• 26:32
  be
• 26:33
  looking
• 26:33
  at
• 26:33
  the
• 26:33
  consumer
• 26:34
  facing
• 26:34
  applications
• 26:34
  of
• 26:35
  AI
• 26:35
  to
• 26:35
  get
• 26:35
  my
• 26:36
  organization
• 26:37
  a
• 26:37
  culture
• 26:38
  to
• 26:38
  what
• 26:38
  AI
• 26:38
  is
• 26:39
  and
• 26:39
  how
• 26:39
  it
• 26:39
  can
• 26:39
  work
• 26:40
  or
• 26:40
  at
• 26:40
  least
• 26:40
  I'd
• 26:40
  be,
• 26:41
  you
• 26:41
  know,
• 26:41
  I'd
• 26:42
  be
• 26:42
  like
• 26:42
  portioning
• 26:43
  my
• 26:43
  bets
• 26:43
  in
• 26:44
  that
• 26:44
  direction,
• 26:45
  so
• 26:45
  to
• 26:45
  speak.
• 26:45
  Siraj?
• 26:46
  Yeah,
• 26:47
  I
• 26:47
  think
• 26:48
  so.
• 26:48
  This
• 26:48
  is
• 26:48
  one
• 26:48
  where
• 26:49
  I
• 26:49
  blow
• 26:49
  hot
• 26:49
  and
• 26:50
  cold,
• 26:50
  right
• 26:51
  Is
• 26:52
  when
• 26:52
  I
• 26:52
  kind
• 26:52
  of
• 26:52
  go
• 26:52
  well
• 26:53
  consumer
• 26:53
  faced
• 26:54
  and
• 26:54
  there
• 26:54
  are
• 26:54
  days
• 26:54
  when
• 26:54
  I
• 26:54
  go
• 26:54
  well
• 26:55
  internal
• 26:55
  definitely
• 26:55
  because
• 26:56
  you've
• 26:56
  got
• 26:56
  lots
• 26:56
  of
• 26:56
  opportunity
• 26:57
  to
• 26:57
  improve
• 26:58
  or
• 26:58
  efficiency
• 26:59
  that
• 26:59
  you
• 26:59
  can
• 26:59
  sort
• 26:59
  of
• 27:00
  gain
• 27:00
  with
• 27:00
  it.
• 27:01
  My
• 27:03
  so
• 27:03
  my
• 27:03
  recommendation
• 27:04
  today,
• 27:04
  don't
• 27:05
  quote
• 27:05
  me
• 27:05
  this,
• 27:05
  I
• 27:05
  might
• 27:06
  change
• 27:06
  again
• 27:06
  tomorrow
• 27:07
  is
• 27:08
  actually
• 27:08
  just
• 27:08
  go
• 27:09
  for
• 27:09
  where
• 27:09
  you
• 27:09
  find
• 27:10
  your
• 27:10
  biggest,
• 27:11
  where
• 27:11
  you
• 27:11
  think
• 27:12
  you're
• 27:12
  going
• 27:12
  to
• 27:12
  find
• 27:12
  your
• 27:12
  biggest
• 27:13
  gain.
• 27:14
  Right.
• 27:14
  So
• 27:14
  and
• 27:14
  again
• 27:15
  some
• 27:15
  of
• 27:15
  that
• 27:15
  might
• 27:15
  be
• 27:16
  considered
• 27:16
  consumer
• 27:17
  face.
• 27:17
  It
• 27:18
  is
• 27:18
  likely
• 27:18
  that
• 27:18
  it's
• 27:19
  going
• 27:19
  to
• 27:19
  become
• 27:19
  consumer
• 27:20
  face
• 27:20
  because
• 27:20
  there's
• 27:20
  a
• 27:20
  lot
• 27:20
  of
• 27:21
  potential
• 27:21
  that
• 27:22
  new
• 27:22
  ways.
• 27:22
  Again
• 27:23
  going
• 27:23
  back
• 27:23
  to
• 27:23
  my
• 27:24
  point
• 27:24
  about
• 27:25
  there
• 27:25
  were
• 27:25
  so
• 27:26
  many
• 27:26
  different
• 27:26
  ways
• 27:26
  that
• 27:27
  retailers
• 27:27
  wanted
• 27:27
  to
• 27:28
  engage
• 27:28
  with
• 27:28
  their
• 27:28
  customers.
• 27:29
  We
• 27:29
  talked
• 27:29
  about
• 27:29
  hyper
• 27:30
  personalizations,
• 27:31
  we
• 27:31
  talked
• 27:31
  about
• 27:32
  recommendations,
• 27:33
  you
• 27:33
  know,
• 27:33
  basket
• 27:34
  analysis,
• 27:34
  a
• 27:34
  lot
• 27:35
  of
• 27:35
  different
• 27:35
  things
• 27:35
  that
• 27:35
  you
• 27:35
  can
• 27:36
  do
• 27:36
  with
• 27:37
  data
• 27:37
  and
• 27:38
  do
• 27:38
  to
• 27:38
  help
• 27:38
  your
• 27:39
  customers
• 27:39
  get
• 27:39
  better
• 27:40
  experience.
• 27:42
  I
• 27:42
  think
• 27:42
  you
• 27:42
  should
• 27:42
  look
• 27:43
  at
• 27:43
  that
• 27:43
  and
• 27:43
  see
• 27:43
  how
• 27:43
  you
• 27:44
  can
• 27:44
  gain
• 27:44
  some
• 27:44
  of
• 27:45
  those
• 27:45
  efficiencies.
• 27:46
  The
• 27:46
  point
• 27:47
  that
• 27:47
  I'd
• 27:47
  also
• 27:47
  make
• 27:48
  at
• 27:48
  that
• 27:49
  juncture
• 27:49
  is
• 27:49
  actually
• 27:50
  if
• 27:50
  you're
• 27:50
  going
• 27:50
  to
• 27:50
  make
• 27:50
  some
• 27:51
  savings,
• 27:52
  don't
• 27:53
  take
• 27:53
  it
• 27:53
  away
• 27:53
  and
• 27:54
  you
• 27:54
  know,
• 27:56
  take
• 27:56
  that
• 27:56
  straight
• 27:57
  into
• 27:57
  your
• 27:57
  P
• 27:57
  and
• 27:57
  L
• 27:57
  and
• 27:58
  say
• 27:58
  oh
• 27:58
  profits
• 27:58
  and
• 27:59
  just
• 27:59
  put
• 27:59
  that
• 28:00
  in
• 28:00
  your
• 28:00
  pocket
• 28:00
  straight
• 28:00
  away,
• 28:01
  reinvest
• 28:02
  that
• 28:02
  because
• 28:02
  you're
• 28:02
  going
• 28:03
  to
• 28:03
  find
• 28:04
  ways
• 28:04
  of
• 28:04
  putting
• 28:04
  that
• 28:05
  back
• 28:05
  into
• 28:05
  the
• 28:05
  business
• 28:05
  in
• 28:05
  some
• 28:06
  other
• 28:06
  way.
• 28:06
  Right.
• 28:06
  So
• 28:07
  again
• 28:07
  for
• 28:08
  internal
• 28:08
  tasks
• 28:09
  there
• 28:09
  are
• 28:09
  so
• 28:09
  many
• 28:09
  things
• 28:10
  that
• 28:10
  are
• 28:10
  repetitive
• 28:11
  and
• 28:11
  you're
• 28:12
  actually
• 28:12
  just
• 28:12
  wasting
• 28:14
  time
• 28:14
  and
• 28:14
  energy
• 28:14
  because
• 28:15
  you
• 28:15
  have
• 28:15
  to
• 28:15
  sift
• 28:16
  through
• 28:16
  paper,
• 28:17
  do
• 28:18
  copy,
• 28:18
  pasting
• 28:19
  between
• 28:19
  different
• 28:19
  files,
• 28:20
  but
• 28:21
  bring
• 28:21
  in
• 28:21
  automation
• 28:22
  or
• 28:22
  look
• 28:23
  at
• 28:23
  the
• 28:23
  processes,
• 28:23
  re
• 28:24
  engineer
• 28:24
  it
• 28:24
  so
• 28:24
  that
• 28:24
  you
• 28:25
  can
• 28:25
  actually
• 28:25
  get
• 28:25
  through
• 28:25
  some
• 28:26
  of
• 28:26
  those
• 28:26
  much
• 28:26
  more
• 28:26
  quicker.
• 28:27
  But
• 28:27
  now
• 28:28
  whatever
• 28:28
  savings
• 28:29
  you've
• 28:29
  made
• 28:29
  from
• 28:29
  that,
• 28:30
  reinvest
• 28:31
  that
• 28:31
  back
• 28:31
  into
• 28:31
  your
• 28:31
  business
• 28:32
  and
• 28:32
  get
• 28:32
  more
• 28:32
  out
• 28:32
  from
• 28:33
  the
• 28:33
  consumer.
• 28:33
  So
• 28:33
  it's
• 28:34
  likely
• 28:34
  that
• 28:34
  you'll
• 28:35
  find
• 28:35
  a
• 28:35
  lot
• 28:35
  of
• 28:35
  that
• 28:35
  benefits
• 28:36
  from
• 28:36
  your
• 28:37
  internal
• 28:37
  processes
• 28:38
  first.
• 28:39
  But,
• 28:39
  but
• 28:39
  your
• 28:40
  biggest
• 28:42
  brand
• 28:44
  benefits
• 28:45
  to
• 28:45
  the
• 28:45
  brand
• 28:45
  or
• 28:45
  you
• 28:46
  know,
• 28:46
  the
• 28:46
  biggest
• 28:46
  marketing
• 28:47
  efforts
• 28:47
  would
• 28:47
  probably
• 28:47
  be
• 28:48
  the
• 28:48
  from
• 28:48
  the
• 28:48
  consumer
• 28:48
  face.
• 28:49
  So
• 28:49
  again
• 28:49
  that's,
• 28:49
  this
• 28:49
  is
• 28:49
  why
• 28:50
  I
• 28:50
  blow
• 28:50
  hot
• 28:50
  and
• 28:50
  cold
• 28:51
  on
• 28:51
  that
• 28:51
  topic
• 28:51
  quite
• 28:52
  often.
• 28:53
  That's
• 28:53
  a
• 28:53
  really
• 28:53
  interesting
• 28:53
  way
• 28:53
  to
• 28:54
  think
• 28:54
  about
• 28:54
  it
• 28:54
  though.
• 28:54
  I
• 28:54
  like
• 28:54
  that
• 28:55
  because
• 28:55
  you're
• 28:55
  basically
• 28:55
  saying
• 28:55
  like
• 28:56
  you
• 28:56
  know,
• 28:56
  look
• 28:56
  internally
• 28:56
  to
• 28:57
  find
• 28:57
  the
• 28:57
  efficiency
• 28:58
  gains
• 28:58
  and
• 28:58
  then
• 28:59
  instead
• 28:59
  of
• 28:59
  just
• 28:59
  like
• 29:00
  grabbing
• 29:00
  them
• 29:01
  and
• 29:01
  putting
• 29:01
  them
• 29:01
  to
• 29:01
  the
• 29:02
  bottom
• 29:02
  line,
• 29:02
  think
• 29:03
  about
• 29:03
  reinvesting
• 29:04
  them
• 29:04
  into
• 29:05
  the
• 29:06
  consumer
• 29:06
  facing
• 29:07
  side
• 29:07
  of
• 29:07
  the
• 29:07
  organization
• 29:08
  to
• 29:08
  then
• 29:08
  continue
• 29:08
  to,
• 29:09
  to
• 29:09
  make
• 29:10
  the
• 29:10
  ultimate,
• 29:11
  you
• 29:11
  know,
• 29:12
  retailer
• 29:12
  or
• 29:13
  organization
• 29:13
  that
• 29:14
  much
• 29:14
  more
• 29:15
  better
• 29:15
  in
• 29:16
  the
• 29:16
  long,
• 29:16
  better
• 29:16
  off
• 29:17
  in
• 29:17
  the
• 29:17
  long
• 29:17
  run.
• 29:17
  I
• 29:18
  think
• 29:18
  it's
• 29:18
  a
• 29:18
  good
• 29:18
  way
• 29:18
  to
• 29:18
  kind
• 29:19
  of,
• 29:19
  at
• 29:19
  least
• 29:20
  from
• 29:20
  a
• 29:20
  leadership
• 29:20
  perspective
• 29:21
  to
• 29:21
  be
• 29:21
  like,
• 29:21
  to
• 29:22
  at
• 29:22
  least
• 29:22
  monitor
• 29:22
  like
• 29:23
  what
• 29:23
  is,
• 29:23
  what
• 29:23
  are
• 29:23
  the
• 29:23
  flows
• 29:24
  and
• 29:24
  the
• 29:24
  gains
• 29:24
  and
• 29:24
  the
• 29:24
  puts
• 29:25
  and
• 29:25
  takes
• 29:25
  I'm
• 29:25
  getting
• 29:25
  with
• 29:25
  my
• 29:26
  AI
• 29:26
  implementation
• 29:27
  here
• 29:27
  because
• 29:27
  at
• 29:28
  the
• 29:28
  end
• 29:28
  of
• 29:28
  the
• 29:28
  day,
• 29:29
  the
• 29:30
  other
• 29:30
  thing
• 29:30
  for
• 29:30
  me
• 29:30
  is
• 29:31
  I
• 29:32
  go
• 29:32
  internally
• 29:32
  versus
• 29:33
  externally
• 29:33
  because
• 29:33
  I
• 29:34
  think
• 29:34
  of
• 29:34
  like,
• 29:35
  you
• 29:35
  know,
• 29:35
  how
• 29:36
  much
• 29:36
  personalization
• 29:37
  can
• 29:37
  I
• 29:37
  actually
• 29:37
  do?
• 29:37
  Right?
• 29:38
  You
• 29:38
  know,
• 29:38
  personalization
• 29:39
  has
• 29:39
  been
• 29:39
  talked
• 29:39
  about
• 29:39
  forever
• 29:40
  and
• 29:40
  how
• 29:41
  much
• 29:41
  is
• 29:41
  that
• 29:41
  going
• 29:41
  to
• 29:41
  move
• 29:41
  the
• 29:41
  needle
• 29:42
  versus
• 29:42
  there's
• 29:42
  probably
• 29:43
  a
• 29:43
  lot
• 29:43
  of
• 29:43
  things
• 29:43
  internally
• 29:44
  where
• 29:44
  I
• 29:44
  can
• 29:44
  find
• 29:45
  a
• 29:45
  lot
• 29:45
  of
• 29:46
  profit
• 29:46
  really
• 29:46
  quickly
• 29:47
  and
• 29:47
  then
• 29:47
  to
• 29:47
  your
• 29:47
  point,
• 29:48
  I
• 29:48
  can
• 29:48
  reinvest
• 29:48
  it.
• 29:49
  So.
• 29:49
  All
• 29:49
  right,
• 29:49
  Mahesh,
• 29:50
  well,
• 29:50
  let's
• 29:50
  get
• 29:50
  you
• 29:50
  out
• 29:51
  of
• 29:51
  here
• 29:51
  on
• 29:51
  this.
• 29:51
  One
• 29:52
  last
• 29:52
  question
• 29:53
  before
• 29:53
  I
• 29:54
  let
• 29:54
  you
• 29:54
  go.
• 29:54
  You
• 29:54
  know,
• 29:55
  if,
• 29:55
  if
• 29:56
  AI
• 29:56
  is
• 29:56
  in
• 29:56
  a
• 29:56
  sense
• 29:57
  becoming
• 29:58
  table
• 29:58
  stakes
• 29:59
  or
• 29:59
  the
• 29:59
  use
• 30:00
  of
• 30:00
  it
• 30:00
  is
• 30:00
  going
• 30:00
  to
• 30:00
  become
• 30:01
  table
• 30:01
  stakes
• 30:01
  for
• 30:01
  every
• 30:02
  retailer
• 30:03
  day
• 30:03
  in
• 30:03
  and
• 30:03
  day
• 30:03
  out
• 30:03
  operates,
• 30:05
  how
• 30:05
  should
• 30:06
  they
• 30:06
  think
• 30:06
  about
• 30:06
  their
• 30:07
  digital
• 30:07
  experience
• 30:08
  as
• 30:08
  a
• 30:08
  key
• 30:09
  lever
• 30:09
  for
• 30:10
  differentiation,
• 30:11
  for
• 30:11
  trust,
• 30:12
  for
• 30:12
  user
• 30:13
  retention?
• 30:13
  How
• 30:13
  would
• 30:13
  you
• 30:13
  answer
• 30:14
  that?
• 30:15
  So
• 30:15
  I
• 30:16
  think
• 30:16
  as
• 30:16
  AI
• 30:16
  becomes
• 30:17
  stable
• 30:17
  stakes,
• 30:19
  experience
• 30:19
  definitely
• 30:20
  becomes
• 30:20
  a
• 30:20
  differentiator,
• 30:21
  but
• 30:23
  not
• 30:23
  in
• 30:23
  the
• 30:23
  way
• 30:23
  most
• 30:24
  people
• 30:24
  think.
• 30:24
  Actually,
• 30:26
  digital
• 30:26
  experience
• 30:27
  isn't
• 30:27
  about
• 30:28
  the
• 30:28
  prettier
• 30:28
  screens
• 30:29
  or
• 30:29
  more
• 30:29
  features
• 30:30
  anymore.
• 30:31
  It's
• 30:31
  about
• 30:32
  how
• 30:32
  intelligent,
• 30:33
  how
• 30:34
  predict
• 30:35
  and
• 30:35
  how
• 30:35
  respectful
• 30:36
  the
• 30:36
  interactions
• 30:36
  feels
• 30:37
  for
• 30:38
  the
• 30:38
  end
• 30:38
  users.
• 30:39
  Right.
• 30:40
  So
• 30:41
  in
• 30:41
  my
• 30:41
  sense,
• 30:42
  the
• 30:42
  retailers
• 30:43
  that
• 30:43
  will
• 30:43
  stand
• 30:43
  out
• 30:44
  are
• 30:45
  not
• 30:45
  the
• 30:45
  ones
• 30:45
  shouting
• 30:46
  AI
• 30:46
  powered,
• 30:46
  but
• 30:47
  they
• 30:47
  are
• 30:47
  the
• 30:47
  ones
• 30:48
  who
• 30:49
  know
• 30:51
  or
• 30:51
  who
• 30:52
  know
• 30:52
  how
• 30:52
  to
• 30:52
  make
• 30:53
  the
• 30:53
  experience
• 30:54
  feel
• 30:54
  smart.
• 30:55
  Smart
• 30:55
  in
• 30:56
  the
• 30:56
  way
• 30:56
  that
• 30:56
  it
• 30:57
  anticipates
• 30:57
  intent,
• 30:59
  it
• 30:59
  removes
• 30:59
  the
• 30:59
  friction
• 31:00
  from
• 31:00
  the
• 31:00
  user
• 31:01
  and
• 31:02
  it
• 31:02
  adapts
• 31:03
  without
• 31:03
  being
• 31:04
  creepy.
• 31:05
  It
• 31:06
  shows
• 31:06
  up
• 31:06
  in
• 31:06
  those
• 31:06
  moments,
• 31:07
  not
• 31:07
  in
• 31:07
  marketing.
• 31:08
  So
• 31:08
  the
• 31:08
  differentiation
• 31:09
  shows
• 31:09
  up
• 31:09
  in
• 31:09
  those
• 31:09
  moments
• 31:10
  where
• 31:10
  the
• 31:10
  customer
• 31:11
  really
• 31:11
  experience
• 31:11
  it,
• 31:12
  not
• 31:13
  in
• 31:13
  the
• 31:13
  marketing
• 31:15
  collaterals.
• 31:18
  That's
• 31:18
  what
• 31:18
  on
• 31:18
  differentiation.
• 31:19
  But
• 31:20
  when
• 31:20
  we
• 31:20
  talk
• 31:20
  about
• 31:21
  trust,
• 31:23
  trust
• 31:24
  isn't
• 31:25
  built.
• 31:25
  It's
• 31:26
  not
• 31:26
  built
• 31:26
  through
• 31:26
  one
• 31:27
  AI
• 31:27
  moment
• 31:28
  or
• 31:28
  one
• 31:28
  magical
• 31:29
  moment.
• 31:30
  It
• 31:30
  is
• 31:30
  built
• 31:31
  through
• 31:31
  consistent,
• 31:33
  explainable,
• 31:34
  predictable
• 31:34
  interactions
• 31:35
  with
• 31:35
  the
• 31:35
  users.
• 31:35
  Especially
• 31:36
  when
• 31:36
  things
• 31:36
  go
• 31:36
  wrong,
• 31:37
  both
• 31:37
  customers
• 31:38
  and
• 31:38
  employees
• 31:39
  can
• 31:39
  ask,
• 31:40
  why
• 31:40
  did
• 31:40
  this
• 31:40
  happen?
• 31:41
  If
• 31:41
  something
• 31:41
  goes
• 31:42
  wrong,
• 31:42
  they
• 31:42
  can
• 31:43
  ask,
• 31:43
  why
• 31:43
  did
• 31:43
  this
• 31:43
  go
• 31:44
  wrong?
• 31:45
  Can
• 31:45
  I
• 31:45
  control
• 31:45
  it?
• 31:46
  Will
• 31:46
  it
• 31:46
  behave
• 31:46
  the
• 31:47
  same
• 31:47
  way
• 31:47
  tomorrow?
• 31:47
  Also,
• 31:48
  those
• 31:48
  are
• 31:48
  the
• 31:49
  obvious
• 31:49
  questions
• 31:49
  that
• 31:49
  we
• 31:50
  hear
• 31:50
  from
• 31:51
  both
• 31:51
  of
• 31:51
  them,
• 31:52
  customers
• 31:52
  as
• 31:52
  well
• 31:52
  as
• 31:53
  employees.
• 31:54
  If
• 31:55
  AI
• 31:55
  breaks
• 31:56
  trust
• 31:56
  once
• 31:57
  experience
• 31:58
  is
• 31:58
  going
• 31:58
  to
• 31:58
  suffer
• 31:59
  for
• 31:59
  a
• 31:59
  long
• 31:59
  time.
• 32:00
  You
• 32:00
  know,
• 32:00
  it
• 32:00
  takes
• 32:00
  a
• 32:00
  long
• 32:01
  time
• 32:01
  for
• 32:01
  the
• 32:01
  people
• 32:01
  to
• 32:02
  come
• 32:02
  back
• 32:02
  and,
• 32:03
  you
• 32:03
  know,
• 32:03
  trust
• 32:03
  them
• 32:03
  again.
• 32:05
  So
• 32:05
  that
• 32:05
  is
• 32:05
  where
• 32:05
  it
• 32:06
  is.
• 32:06
  And
• 32:06
  when
• 32:06
  it
• 32:07
  comes
• 32:07
  to
• 32:07
  retention,
• 32:09
  it
• 32:09
  comes
• 32:10
  down
• 32:10
  to
• 32:10
  how
• 32:10
  easily
• 32:12
  you
• 32:12
  can
• 32:13
  make
• 32:13
  some,
• 32:13
  how
• 32:13
  easy
• 32:14
  you
• 32:14
  can
• 32:14
  make
• 32:14
  someone's
• 32:15
  life,
• 32:16
  right?
• 32:16
  So
• 32:17
  for
• 32:17
  customers,
• 32:17
  it's,
• 32:18
  it's
• 32:18
  more
• 32:18
  of,
• 32:18
  you
• 32:18
  know,
• 32:18
  fewer
• 32:19
  decisions
• 32:19
  and
• 32:20
  fewer
• 32:20
  surprises
• 32:21
  when
• 32:21
  they
• 32:21
  are
• 32:22
  shopping
• 32:23
  for
• 32:23
  employees.
• 32:24
  It's
• 32:24
  like,
• 32:24
  you
• 32:24
  know,
• 32:25
  less,
• 32:26
  less
• 32:26
  work,
• 32:27
  fewer
• 32:27
  overrides
• 32:28
  that
• 32:28
  they
• 32:28
  have
• 32:28
  to
• 32:28
  do
• 32:29
  during
• 32:29
  a
• 32:29
  transaction
• 32:30
  or,
• 32:30
  you
• 32:31
  know,
• 32:32
  more
• 32:32
  confidence
• 32:33
  in
• 32:33
  the
• 32:33
  system
• 32:33
  that
• 32:33
  way.
• 32:35
  So,
• 32:35
  you
• 32:35
  know,
• 32:35
  I
• 32:36
  think
• 32:36
  the
• 32:36
  best
• 32:36
  digital
• 32:37
  experiences
• 32:37
  reduce
• 32:38
  the
• 32:38
  mental
• 32:38
  stress
• 32:39
  or
• 32:40
  I
• 32:40
  would
• 32:40
  say
• 32:40
  the
• 32:41
  cognitive
• 32:41
  load
• 32:42
  of
• 32:42
  the
• 32:42
  users
• 32:43
  and
• 32:43
  customers.
• 32:45
  They
• 32:45
  don't
• 32:45
  actually
• 32:45
  demand
• 32:46
  attention,
• 32:46
  they
• 32:47
  earn
• 32:47
  it
• 32:47
  actually
• 32:48
  the
• 32:48
  digital
• 32:49
  experience.
• 32:50
  So
• 32:51
  that
• 32:51
  is
• 32:51
  what
• 32:51
  I
• 32:52
  think
• 32:52
  on
• 32:52
  that
• 32:53
  perspective.
• 32:53
  Chris?
• 32:55
  Well,
• 32:55
  this
• 32:55
  always
• 32:55
  happens
• 32:56
  to
• 32:56
  me.
• 32:56
  I,
• 32:56
  I
• 32:56
  don't
• 32:56
  know
• 32:57
  why
• 32:57
  but
• 32:57
  like
• 32:57
  at
• 32:57
  the
• 32:57
  end
• 32:57
  of
• 32:57
  the
• 32:58
  show
• 32:58
  I
• 32:58
  always
• 32:58
  get
• 32:58
  some
• 32:59
  big
• 32:59
  like
• 32:59
  epiphany
• 32:59
  or
• 33:00
  aha
• 33:00
  that
• 33:00
  I
• 33:00
  hadn't
• 33:00
  thought
• 33:00
  about
• 33:01
  until
• 33:01
  someone
• 33:01
  just
• 33:02
  says
• 33:02
  something
• 33:02
  and
• 33:02
  like,
• 33:03
  yeah,
• 33:03
  I
• 33:03
  mean
• 33:03
  the
• 33:04
  crazy
• 33:04
  thing
• 33:04
  to
• 33:04
  me
• 33:04
  and
• 33:04
  what
• 33:05
  you
• 33:05
  just
• 33:05
  said
• 33:05
  is
• 33:06
  how
• 33:07
  well
• 33:07
  your
• 33:07
  digital
• 33:07
  experience
• 33:08
  performs
• 33:09
  for
• 33:09
  your
• 33:09
  end
• 33:09
  consumer.
• 33:10
  Is
• 33:11
  100
• 33:11
  going
• 33:12
  to
• 33:12
  become
• 33:12
  a
• 33:12
  differentiator,
• 33:13
  you
• 33:13
  know,
• 33:14
  relatively
• 33:14
  speaking,
• 33:15
  because
• 33:15
  it's
• 33:16
  gonna
• 33:16
  make,
• 33:17
  it's
• 33:17
  gonna
• 33:18
  make
• 33:18
  our
• 33:18
  understanding
• 33:19
  of
• 33:19
  the
• 33:19
  end
• 33:19
  consumer
• 33:19
  that
• 33:20
  much
• 33:20
  easier,
• 33:20
  that
• 33:20
  much
• 33:20
  more
• 33:21
  fluid,
• 33:22
  that
• 33:22
  much
• 33:22
  more,
• 33:22
  more
• 33:23
  organic.
• 33:24
  And
• 33:24
  so
• 33:24
  the
• 33:24
  companies
• 33:24
  that
• 33:25
  aren't
• 33:25
  investing
• 33:26
  in
• 33:26
  their
• 33:26
  digital
• 33:26
  experience
• 33:27
  are
• 33:27
  going
• 33:27
  to
• 33:27
  lose
• 33:28
  out
• 33:28
  in
• 33:28
  the
• 33:28
  long
• 33:28
  run.
• 33:29
  So
• 33:29
  like,
• 33:30
  you
• 33:30
  know,
• 33:30
  and
• 33:30
  that's
• 33:30
  always
• 33:30
  the
• 33:30
  debate,
• 33:31
  right?
• 33:31
  In
• 33:31
  retail,
• 33:31
  like,
• 33:32
  do
• 33:32
  I
• 33:32
  invest
• 33:32
  in
• 33:32
  the
• 33:32
  stores,
• 33:33
  Do
• 33:33
  I
• 33:33
  invest
• 33:33
  in
• 33:33
  the
• 33:34
  digital
• 33:34
  experience?
• 33:34
  But
• 33:35
  yeah,
• 33:35
  ultimately
• 33:36
  we
• 33:36
  saw
• 33:36
  E
• 33:36
  Commerce
• 33:36
  kind
• 33:37
  of
• 33:37
  go
• 33:37
  through
• 33:37
  this
• 33:37
  too
• 33:37
  where
• 33:38
  like,
• 33:38
  you
• 33:38
  know,
• 33:38
  people
• 33:39
  were
• 33:39
  kind
• 33:39
  of
• 33:40
  debating
• 33:40
  whether
• 33:41
  they
• 33:41
  should
• 33:41
  invest
• 33:41
  in
• 33:41
  E
• 33:41
  Commerce
• 33:42
  and
• 33:42
  now,
• 33:43
  you
• 33:43
  know,
• 33:43
  they're
• 33:43
  debating
• 33:44
  on,
• 33:44
  you
• 33:44
  know,
• 33:44
  how
• 33:44
  much
• 33:45
  they
• 33:45
  want
• 33:45
  to
• 33:45
  go
• 33:45
  into
• 33:45
  this
• 33:46
  side
• 33:46
  of
• 33:46
  things
• 33:46
  from
• 33:47
  their
• 33:47
  overall
• 33:47
  digital
• 33:48
  experience.
• 33:48
  And
• 33:49
  yeah,
• 33:49
  it's
• 33:49
  going
• 33:50
  to
• 33:50
  become
• 33:50
  a
• 33:50
  bigger
• 33:50
  differentiator
• 33:51
  than
• 33:51
  I
• 33:51
  think
• 33:52
  probably
• 33:52
  a
• 33:52
  lot
• 33:53
  of
• 33:53
  us
• 33:53
  are
• 33:53
  really
• 33:53
  realizing.
• 33:54
  Siraj,
• 33:54
  last
• 33:54
  word
• 33:55
  here.
• 33:55
  What
• 33:55
  do
• 33:55
  you
• 33:55
  think?
• 33:56
  Close
• 33:56
  us
• 33:56
  out?
• 33:57
  I
• 33:57
  mean,
• 33:58
  exactly
• 33:58
  the
• 33:58
  same.
• 33:59
  You
• 33:59
  will
• 34:00
  see,
• 34:00
  I
• 34:00
  think
• 34:00
  you'll
• 34:01
  see
• 34:01
  this
• 34:01
  becoming
• 34:01
  human
• 34:02
  centered
• 34:02
  more
• 34:03
  than
• 34:03
  ever,
• 34:04
  right.
• 34:04
  I
• 34:05
  think
• 34:06
  the
• 34:06
  best
• 34:06
  implementations
• 34:07
  of
• 34:07
  AI
• 34:07
  for
• 34:08
  retailers
• 34:08
  will
• 34:08
  be
• 34:09
  where
• 34:09
  they
• 34:09
  don't
• 34:10
  talk
• 34:10
  about
• 34:10
  AI,
• 34:12
  where
• 34:12
  it's
• 34:13
  actually
• 34:13
  just
• 34:13
  embedded
• 34:14
  into
• 34:14
  the
• 34:14
  systems,
• 34:15
  smoothly
• 34:16
  flows
• 34:17
  between
• 34:17
  your
• 34:17
  design,
• 34:17
  your
• 34:18
  application,
• 34:18
  your
• 34:19
  experience.
• 34:20
  You
• 34:20
  log
• 34:20
  into
• 34:20
  an
• 34:20
  app
• 34:21
  or
• 34:21
  you
• 34:21
  log
• 34:21
  in,
• 34:21
  you
• 34:22
  walk
• 34:22
  into
• 34:22
  a
• 34:22
  store
• 34:22
  and
• 34:23
  you
• 34:23
  just
• 34:24
  find
• 34:24
  the
• 34:24
  best
• 34:24
  experiences
• 34:25
  that
• 34:25
  Mahesh
• 34:25
  just
• 34:26
  talked
• 34:26
  about,
• 34:26
  right?
• 34:26
  And
• 34:27
  everything
• 34:27
  from
• 34:27
  A
• 34:27
  customer
• 34:28
  perspective,
• 34:29
  they're
• 34:29
  happy,
• 34:30
  they're.
• 34:30
  They're
• 34:30
  very
• 34:30
  confident,
• 34:31
  they
• 34:31
  trust
• 34:32
  what,
• 34:32
  what's
• 34:32
  been
• 34:33
  taken
• 34:33
  off
• 34:33
  you.
• 34:33
  I
• 34:34
  mean,
• 34:35
  you
• 34:35
  and
• 34:35
  I
• 34:35
  are
• 34:35
  actually
• 34:36
  giving
• 34:36
  away
• 34:36
  a
• 34:36
  lot
• 34:37
  of
• 34:37
  our
• 34:37
  data
• 34:38
  back
• 34:38
  to
• 34:39
  these
• 34:39
  organizations
• 34:40
  in
• 34:40
  terms
• 34:40
  of
• 34:40
  our
• 34:40
  buying
• 34:41
  patterns,
• 34:41
  our
• 34:42
  scrolling
• 34:43
  patterns
• 34:43
  and
• 34:43
  things
• 34:44
  like
• 34:44
  that.
• 34:45
  They're
• 34:45
  listening
• 34:45
  to
• 34:45
  us
• 34:46
  in
• 34:46
  various
• 34:46
  forms
• 34:46
  that
• 34:47
  we
• 34:47
  probably
• 34:48
  have
• 34:48
  no
• 34:48
  track
• 34:49
  about.
• 34:50
  And
• 34:51
  if
• 34:51
  that
• 34:51
  data
• 34:51
  has
• 34:52
  actually
• 34:52
  been
• 34:52
  put
• 34:52
  to
• 34:53
  good
• 34:53
  use,
• 34:53
  that
• 34:53
  at
• 34:54
  the
• 34:54
  end
• 34:54
  of
• 34:54
  the
• 34:54
  day
• 34:54
  I
• 34:54
  am
• 34:55
  able
• 34:55
  to
• 34:55
  get
• 34:55
  what
• 34:55
  I
• 34:56
  want
• 34:56
  and
• 34:57
  more
• 34:58
  than
• 34:58
  what
• 34:58
  I
• 34:58
  want
• 34:58
  and
• 34:59
  probably
• 34:59
  what
• 34:59
  I
• 34:59
  could
• 35:00
  want
• 35:00
  in
• 35:00
  the
• 35:00
  future,
• 35:01
  then
• 35:02
  I
• 35:02
  think
• 35:02
  that's
• 35:02
  a
• 35:02
  win.
• 35:03
  Win.
• 35:03
  Right.
• 35:03
  So
• 35:04
  the
• 35:04
  best
• 35:04
  retailers
• 35:05
  would
• 35:05
  be
• 35:05
  that
• 35:06
  have
• 35:06
  implemented
• 35:06
  AI
• 35:07
  would
• 35:07
  be
• 35:07
  the
• 35:07
  ones
• 35:07
  that
• 35:08
  will
• 35:08
  never
• 35:08
  talk
• 35:09
  about
• 35:09
  it,
• 35:09
  but
• 35:09
  actually
• 35:10
  have
• 35:10
  got
• 35:10
  that
• 35:10
  really
• 35:11
  totally
• 35:11
  embedded.
• 35:12
  Yeah,
• 35:13
  Mahesh,
• 35:13
  go
• 35:13
  ahead.
• 35:15
  Just
• 35:15
  wanted
• 35:15
  to
• 35:15
  add
• 35:16
  one
• 35:16
  simple
• 35:17
  thing.
• 35:17
  AI
• 35:18
  isn't
• 35:18
  a
• 35:18
  project.
• 35:19
  It's
• 35:19
  not
• 35:19
  a
• 35:19
  project.
• 35:20
  It's
• 35:20
  like
• 35:20
  a
• 35:20
  muscle.
• 35:21
  You
• 35:21
  build
• 35:21
  it
• 35:21
  over
• 35:21
  time.
• 35:22
  Yeah.
• 35:23
  And
• 35:23
  that's
• 35:23
  the
• 35:23
  big
• 35:23
  leadership
• 35:24
  question
• 35:24
  too,
• 35:24
  is
• 35:25
  how
• 35:25
  do
• 35:26
  all
• 35:26
  these
• 35:26
  leaders
• 35:27
  that
• 35:27
  have
• 35:28
  basically
• 35:28
  no
• 35:28
  muscle
• 35:29
  mass
• 35:30
  and
• 35:30
  have
• 35:30
  been
• 35:30
  trying
• 35:31
  to
• 35:31
  create
• 35:31
  muscle
• 35:32
  mass
• 35:32
  for
• 35:32
  the
• 35:32
  last
• 35:32
  two
• 35:32
  or
• 35:33
  three
• 35:33
  years
• 35:33
  since
• 35:33
  it
• 35:33
  came
• 35:33
  on,
• 35:34
  how
• 35:34
  do
• 35:34
  they
• 35:34
  now
• 35:35
  lead
• 35:35
  their
• 35:35
  teams
• 35:36
  through
• 35:36
  that?
• 35:36
  Which
• 35:37
  is
• 35:37
  why
• 35:38
  we
• 35:38
  bring
• 35:38
  folks
• 35:39
  like
• 35:39
  both
• 35:39
  of
• 35:39
  yourselves
• 35:40
  onto
• 35:40
  this
• 35:40
  program
• 35:41
  to
• 35:41
  help
• 35:41
  us
• 35:42
  and
• 35:42
  help
• 35:42
  them
• 35:43
  through
• 35:43
  that
• 35:43
  exploration.
• 35:44
  So.
• 35:45
  So
• 35:45
  thank
• 35:45
  you
• 35:45
  both.
• 35:46
  That
• 35:46
  was,
• 35:46
  that
• 35:46
  was
• 35:47
  really
• 35:47
  great.
• 35:47
  Mahesh,
• 35:48
  if
• 35:48
  people
• 35:48
  want
• 35:48
  to
• 35:48
  get
• 35:48
  in
• 35:49
  touch
• 35:49
  with
• 35:49
  you,
• 35:49
  reach
• 35:50
  out
• 35:50
  to
• 35:50
  Experian
• 35:50
  Technologies
• 35:51
  in
• 35:51
  any
• 35:51
  way,
• 35:52
  shape
• 35:52
  or
• 35:52
  form.
• 35:53
  Let,
• 35:53
  let
• 35:53
  our
• 35:53
  audience
• 35:53
  know
• 35:54
  what's
• 35:54
  the
• 35:54
  best
• 35:54
  way
• 35:54
  for
• 35:54
  them
• 35:54
  to
• 35:55
  do
• 35:55
  that.
• 35:56
  Oh,
• 35:57
  they
• 35:57
  can
• 35:57
  email
• 35:58
  me
• 35:58
  or
• 35:58
  they
• 35:59
  can
• 35:59
  call
• 35:59
  me.
• 36:00
  My
• 36:00
  email
• 36:00
  is
• 36:01
  Mahesh
• 36:01
  Vijay.
• 36:02
  That
• 36:02
  is
• 36:02
  M
• 36:02
  A
• 36:03
  H
• 36:03
  E
• 36:03
  S
• 36:04
  H.
• 36:05
  V
• 36:05
  I
• 36:06
  J
• 36:06
  A
• 36:07
  Y@experion
• 36:08
  global.com
• 36:10
  and
• 36:10
  my
• 36:10
  phone
• 36:10
  number
• 36:10
  is
• 36:11
  636-628-9591.
• 36:15
  So
• 36:16
  always,
• 36:16
  always
• 36:16
  available
• 36:17
  on
• 36:17
  both.
• 36:18
  All
• 36:18
  right,
• 36:19
  the
• 36:19
  phone
• 36:19
  number
• 36:19
  drop,
• 36:20
  we
• 36:20
  haven't
• 36:20
  had
• 36:20
  that
• 36:21
  in
• 36:21
  a
• 36:21
  while.
• 36:21
  Wow,
• 36:22
  that's
• 36:22
  great.
• 36:22
  That's.
• 36:23
  Love
• 36:23
  that.
• 36:24
  I
• 36:24
  love
• 36:24
  that
• 36:24
  because
• 36:24
  it's
• 36:25
  so
• 36:25
  organic.
• 36:25
  So.
• 36:26
  All
• 36:26
  right,
• 36:26
  well,
• 36:26
  thank
• 36:27
  you
• 36:27
  both
• 36:27
  again.
• 36:28
  This
• 36:28
  was
• 36:28
  a
• 36:29
  really
• 36:29
  great
• 36:29
  conversation.
• 36:30
  Made
• 36:30
  me,
• 36:30
  made
• 36:31
  me
• 36:31
  think
• 36:31
  a
• 36:31
  lot.
• 36:31
  And
• 36:31
  I
• 36:31
  always
• 36:32
  love
• 36:32
  it
• 36:32
  when
• 36:32
  I
• 36:32
  can
• 36:32
  get
• 36:33
  the
• 36:33
  big
• 36:33
  aha
• 36:34
  at
• 36:34
  the
• 36:34
  end
• 36:34
  too.
• 36:34
  So
• 36:35
  thank
• 36:35
  you
• 36:35
  for
• 36:35
  doing
• 36:35
  that
• 36:36
  because
• 36:36
  that
• 36:36
  always
• 36:37
  means
• 36:37
  a
• 36:37
  lot
• 36:37
  to
• 36:37
  me
• 36:37
  too.
• 36:38
  So
• 36:38
  today's
• 36:38
  podcast
• 36:39
  was
• 36:39
  of
• 36:39
  course
• 36:39
  produced
• 36:40
  by
• 36:40
  the
• 36:40
  great
• 36:41
  AS
• 36:41
  Siriwort
• 36:42
  on
• 36:42
  behalf
• 36:42
  of
• 36:42
  all
• 36:43
  of
• 36:43
  us
• 36:43
  here
• 36:43
  at
• 36:43
  Omnitalk
• 36:44
  Retail.
• 36:44
  As
• 36:45
  always,
• 36:45
  be
• 36:45
  careful
• 36:46
  out
• 36:46
  there.