Latest / Omni Talk Retail / AI in Retail & E-Commerce: Insights from NetElixir CEO at eTail West

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AI in Retail & E-Commerce: Insights from NetElixir CEO at eTail West · Omni Talk Retail

• 0:00
  Hello
• 0:01
  everyone,
• 0:01
  this
• 0:02
  is
• 0:02
  Omnitok
• 0:03
  Retail.
• 0:03
  I'm
• 0:03
  Anne
• 0:04
  Mazinga
• 0:04
  and
• 0:05
  I
• 0:05
  am
• 0:05
  coming
• 0:05
  to
• 0:05
  you
• 0:06
  live
• 0:06
  from
• 0:07
  Etail
• 0:07
  in
• 0:08
  Palm
• 0:08
  Springs.
• 0:09
  We're
• 0:09
  so
• 0:09
  excited
• 0:09
  to
• 0:10
  be
• 0:10
  here
• 0:10
  covering
• 0:10
  the
• 0:11
  show
• 0:11
  and
• 0:12
  I
• 0:12
  wanted
• 0:12
  to
• 0:12
  kick
• 0:13
  off
• 0:13
  our
• 0:13
  coverage
• 0:14
  of
• 0:15
  E
• 0:15
  Tail
• 0:15
  west
• 0:16
  here
• 0:16
  because
• 0:17
  we
• 0:17
  have
• 0:17
  a
• 0:17
  very
• 0:17
  special
• 0:18
  partner
• 0:18
  that's
• 0:18
  helped
• 0:19
  bringing
• 0:19
  us
• 0:20
  bringing
• 0:20
  you
• 0:20
  all
• 0:21
  of
• 0:21
  the
• 0:21
  content
• 0:22
  and
• 0:22
  all
• 0:22
  of
• 0:22
  the
• 0:23
  interviews
• 0:23
  from
• 0:23
  the
• 0:23
  retailers
• 0:24
  and
• 0:24
  brands
• 0:24
  in
• 0:24
  attendance.
• 0:25
  And
• 0:25
  that
• 0:25
  is
• 0:26
  Net
• 0:26
  Elixir.
• 0:27
  And
• 0:27
  they
• 0:27
  are
• 0:28
  in
• 0:28
  here
• 0:28
  in
• 0:28
  booth
• 0:29
  501.
• 0:30
  And
• 0:30
  standing
• 0:31
  next
• 0:31
  to
• 0:31
  me
• 0:31
  I
• 0:31
  have
• 0:32
  the
• 0:32
  co
• 0:32
  founder
• 0:33
  and
• 0:33
  CEO
• 0:34
  of
• 0:34
  Net
• 0:34
  Elixir,
• 0:35
  Udayn
• 0:35
  Bose.
• 0:36
  Udain,
• 0:36
  welcome.
• 0:37
  Thank
• 0:37
  you
• 0:37
  very
• 0:37
  much.
• 0:38
  Yes.
• 0:38
  Wow,
• 0:39
  this
• 0:39
  is
• 0:39
  amazing.
• 0:40
  How
• 0:40
  have
• 0:40
  you
• 0:40
  been?
• 0:40
  It's
• 0:41
  been
• 0:41
  a
• 0:41
  little
• 0:41
  minute.
• 0:41
  I'm
• 0:42
  doing
• 0:42
  great,
• 0:42
  thank
• 0:42
  you.
• 0:43
  Yeah,
• 0:43
  thank
• 0:43
  you.
• 0:44
  I
• 0:44
  have
• 0:44
  to
• 0:44
  tell
• 0:45
  you
• 0:45
  all
• 0:45
  that
• 0:45
  Udayne
• 0:46
  is
• 0:46
  basically
• 0:46
  like
• 0:46
  the
• 0:47
  mayor
• 0:47
  of
• 0:47
  Etail.
• 0:48
  How
• 0:48
  many,
• 0:48
  how
• 0:49
  many
• 0:49
  Etails
• 0:49
  is
• 0:49
  this
• 0:50
  for
• 0:50
  Udane?
• 0:51
  I
• 0:51
  know
• 0:51
  I
• 0:51
  can
• 0:51
  sort
• 0:52
  of
• 0:52
  seem
• 0:52
  extremely
• 0:52
  old
• 0:53
  saying
• 0:53
  this,
• 0:54
  but
• 0:54
  this
• 0:54
  is
• 0:54
  our
• 0:54
  19th
• 0:55
  etail
• 0:55
  and
• 0:55
  I
• 0:56
  still
• 0:56
  remember
• 0:56
  2007.
• 0:57
  Our
• 0:57
  first
• 0:58
  etail
• 0:58
  was
• 0:58
  before
• 0:58
  iPhone
• 0:59
  was
• 0:59
  launched.
• 1:00
  So
• 1:00
  it
• 1:01
  has
• 1:01
  been
• 1:01
  a
• 1:02
  crazy
• 1:02
  ride.
• 1:02
  I
• 1:02
  mean,
• 1:02
  think
• 1:03
  about
• 1:03
  that.
• 1:03
  Before
• 1:03
  the
• 1:04
  first
• 1:04
  iPhone
• 1:04
  was
• 1:05
  launched.
• 1:05
  I
• 1:05
  mean,
• 1:06
  and
• 1:06
  it's
• 1:06
  really
• 1:06
  so
• 1:06
  unique.
• 1:07
  I
• 1:07
  remember
• 1:07
  Chris
• 1:08
  saying
• 1:08
  last
• 1:08
  year
• 1:08
  when
• 1:09
  we
• 1:09
  were
• 1:09
  here,
• 1:09
  you
• 1:10
  know,
• 1:10
  it's
• 1:10
  kind
• 1:10
  of
• 1:10
  like
• 1:11
  when
• 1:12
  E
• 1:13
  commerce
• 1:13
  first
• 1:13
  came
• 1:14
  to
• 1:14
  the
• 1:14
  fore.
• 1:14
  And
• 1:15
  now
• 1:15
  we're
• 1:15
  kind
• 1:15
  of
• 1:16
  on
• 1:16
  this
• 1:16
  precipice
• 1:17
  again
• 1:17
  with
• 1:17
  AI,
• 1:18
  which,
• 1:18
  which
• 1:18
  is
• 1:18
  something
• 1:19
  that
• 1:19
  I'm
• 1:19
  really
• 1:19
  excited
• 1:20
  to
• 1:20
  talk
• 1:20
  to
• 1:20
  you
• 1:20
  about
• 1:21
  today
• 1:21
  too.
• 1:22
  So
• 1:22
  let's
• 1:23
  start
• 1:23
  with
• 1:24
  what
• 1:24
  Net
• 1:25
  Elixir
• 1:25
  is
• 1:26
  and
• 1:26
  maybe
• 1:26
  the
• 1:26
  origin
• 1:27
  story
• 1:27
  and
• 1:28
  what
• 1:28
  Net
• 1:28
  Elixir
• 1:28
  is
• 1:29
  doing
• 1:29
  today.
• 1:29
  Absolutely,
• 1:30
  absolutely.
• 1:31
  So
• 1:31
  Net
• 1:31
  Elixir
• 1:31
  has
• 1:32
  been
• 1:32
  around
• 1:32
  for
• 1:32
  21
• 1:32
  years
• 1:33
  now.
• 1:33
  Right?
• 1:33
  So
• 1:33
  it
• 1:34
  has
• 1:34
  been
• 1:34
  a
• 1:34
  long
• 1:34
  time.
• 1:34
  We
• 1:34
  are
• 1:35
  an
• 1:35
  independent
• 1:36
  digital
• 1:36
  marketing
• 1:37
  firm.
• 1:37
  We
• 1:38
  have
• 1:38
  really
• 1:38
  integrated
• 1:39
  AI
• 1:39
  into
• 1:40
  how
• 1:40
  we
• 1:40
  really
• 1:41
  do
• 1:41
  things.
• 1:42
  And
• 1:43
  this
• 1:43
  was
• 1:44
  probably
• 1:44
  more
• 1:45
  lucky,
• 1:45
  I
• 1:45
  would
• 1:45
  think.
• 1:46
  And
• 1:47
  in
• 1:47
  2017
• 1:47
  we
• 1:48
  set
• 1:48
  up
• 1:48
  an
• 1:48
  AI
• 1:48
  innovation
• 1:49
  lab
• 1:49
  back
• 1:49
  at
• 1:50
  our
• 1:50
  India
• 1:50
  office
• 1:50
  in
• 1:50
  Hyderabad.
• 1:51
  And
• 1:52
  we
• 1:52
  wanted
• 1:52
  to
• 1:52
  solve
• 1:53
  one
• 1:53
  problem.
• 1:53
  We
• 1:54
  wanted
• 1:54
  to
• 1:54
  use
• 1:54
  machine
• 1:55
  learning
• 1:55
  and
• 1:55
  predictive
• 1:55
  analytics
• 1:56
  to
• 1:57
  proactively
• 1:58
  identify
• 1:59
  and
• 1:59
  win
• 1:59
  the
• 1:59
  high
• 2:00
  value
• 2:00
  customers
• 2:00
  as
• 2:00
  such.
• 2:01
  Okay,
• 2:01
  so
• 2:01
  that's
• 2:02
  the
• 2:02
  start
• 2:02
  part.
• 2:03
  Finally,
• 2:03
  after
• 2:04
  two
• 2:04
  and
• 2:04
  a
• 2:04
  half
• 2:04
  years
• 2:04
  of
• 2:04
  research,
• 2:05
  we
• 2:05
  were
• 2:05
  able
• 2:05
  to
• 2:06
  crack
• 2:06
  that
• 2:06
  formula.
• 2:06
  So
• 2:07
  where
• 2:07
  we
• 2:07
  are
• 2:07
  able
• 2:07
  to
• 2:07
  use
• 2:08
  live
• 2:08
  data
• 2:08
  to
• 2:09
  identify
• 2:09
  as
• 2:09
  to
• 2:09
  who's
• 2:10
  a
• 2:10
  high
• 2:10
  value
• 2:10
  customer
• 2:11
  for
• 2:11
  a
• 2:11
  business.
• 2:12
  And
• 2:13
  then
• 2:13
  we
• 2:14
  just
• 2:14
  kept
• 2:14
  on
• 2:14
  adding
• 2:14
  the
• 2:15
  predictive
• 2:15
  analytics
• 2:15
  algorithms
• 2:16
  and
• 2:16
  so
• 2:16
  on
• 2:17
  and
• 2:18
  Covid
• 2:18
  struck
• 2:19
  and
• 2:19
  then
• 2:19
  essentially
• 2:20
  the
• 2:20
  world
• 2:20
  changed.
• 2:21
  And
• 2:21
  at
• 2:21
  this
• 2:21
  point
• 2:22
  in
• 2:22
  time,
• 2:22
  the
• 2:22
  entire
• 2:22
  world
• 2:22
  is
• 2:23
  Talking
• 2:23
  about
• 2:23
  AI.
• 2:24
  AI
• 2:25
  that
• 2:25
  we
• 2:25
  know
• 2:25
  of
• 2:25
  is
• 2:26
  more
• 2:26
  of
• 2:26
  a
• 2:26
  machine
• 2:26
  learning
• 2:26
  and
• 2:27
  predictive
• 2:27
  analytics
• 2:27
  as
• 2:28
  such.
• 2:28
  And
• 2:29
  what
• 2:29
  have
• 2:29
  you
• 2:29
  been
• 2:30
  able
• 2:30
  to
• 2:30
  help
• 2:30
  brands
• 2:31
  do?
• 2:31
  Especially
• 2:31
  being
• 2:32
  so
• 2:32
  early
• 2:33
  on
• 2:33
  the
• 2:33
  forefront
• 2:33
  of
• 2:34
  AI
• 2:34
  and
• 2:34
  really
• 2:34
  starting
• 2:35
  to
• 2:35
  test
• 2:35
  that
• 2:36
  before
• 2:36
  anyone
• 2:37
  else
• 2:37
  was
• 2:38
  what
• 2:38
  have
• 2:38
  you
• 2:38
  been
• 2:38
  able
• 2:38
  to
• 2:39
  really
• 2:39
  help
• 2:39
  them
• 2:40
  utilize
• 2:40
  AI
• 2:41
  for
• 2:41
  and
• 2:42
  how
• 2:42
  has
• 2:42
  that
• 2:42
  changed
• 2:42
  their
• 2:43
  business?
• 2:43
  I
• 2:43
  mean,
• 2:44
  I
• 2:44
  know
• 2:45
  I
• 2:45
  can
• 2:45
  get
• 2:45
  extremely
• 2:46
  professorial
• 2:46
  on
• 2:46
  this
• 2:46
  one
• 2:47
  and.
• 2:47
  But
• 2:47
  if
• 2:48
  you
• 2:48
  really
• 2:48
  look
• 2:48
  at
• 2:48
  AI,
• 2:49
  I
• 2:49
  think
• 2:49
  it
• 2:49
  starts
• 2:50
  with
• 2:50
  identifying
• 2:50
  the
• 2:50
  problem
• 2:51
  that
• 2:51
  you
• 2:51
  want
• 2:51
  to
• 2:51
  solve.
• 2:52
  Okay.
• 2:52
  The
• 2:52
  first
• 2:52
  thing
• 2:53
  was
• 2:53
  we
• 2:53
  were
• 2:53
  able
• 2:53
  to
• 2:53
  identify
• 2:54
  the
• 2:54
  right
• 2:54
  problem
• 2:55
  to
• 2:55
  solve.
• 2:55
  The
• 2:56
  second
• 2:56
  part
• 2:56
  is
• 2:57
  we
• 2:57
  knew
• 2:57
  that
• 2:57
  we
• 2:57
  really
• 2:58
  needed
• 2:58
  to
• 2:58
  redesign
• 2:58
  the
• 2:58
  workflows
• 2:59
  because
• 3:01
  just
• 3:02
  using
• 3:02
  AI
• 3:02
  and
• 3:02
  throwing
• 3:03
  around
• 3:03
  AI
• 3:03
  as
• 3:03
  a
• 3:03
  bug
• 3:04
  word
• 3:04
  doesn't
• 3:04
  work.
• 3:05
  The
• 3:05
  third
• 3:05
  component
• 3:06
  at
• 3:06
  this
• 3:06
  point
• 3:06
  in
• 3:06
  time,
• 3:07
  75%
• 3:08
  of
• 3:08
  the
• 3:08
  AI
• 3:08
  still
• 3:09
  which
• 3:09
  really
• 3:10
  works
• 3:10
  internally
• 3:11
  for
• 3:11
  companies
• 3:11
  is
• 3:12
  predictive
• 3:12
  analytics
• 3:13
  and
• 3:13
  machine
• 3:13
  learning.
• 3:14
  So
• 3:14
  what
• 3:14
  we
• 3:14
  have
• 3:15
  been
• 3:15
  able
• 3:15
  to
• 3:15
  do
• 3:15
  is
• 3:15
  we
• 3:16
  have
• 3:16
  been
• 3:16
  able
• 3:16
  to
• 3:16
  build
• 3:17
  a
• 3:17
  technology,
• 3:18
  an
• 3:18
  AI
• 3:19
  marketing
• 3:19
  experimentation
• 3:20
  platform
• 3:21
  which
• 3:22
  delivers
• 3:24
  higher
• 3:24
  revenues
• 3:25
  from
• 3:25
  the
• 3:25
  same
• 3:25
  Google
• 3:25
  Ad
• 3:26
  spend
• 3:26
  or
• 3:26
  a
• 3:26
  meta
• 3:27
  ad
• 3:27
  spend
• 3:27
  by
• 3:28
  predictably
• 3:28
  identifying
• 3:29
  the
• 3:29
  high
• 3:29
  value
• 3:30
  customers
• 3:30
  and
• 3:30
  doing
• 3:31
  that.
• 3:31
  So
• 3:31
  we
• 3:31
  can
• 3:32
  truly
• 3:32
  claim
• 3:33
  that
• 3:33
  we
• 3:33
  are
• 3:33
  the
• 3:33
  first
• 3:34
  and
• 3:34
  only
• 3:34
  AI
• 3:35
  marketing
• 3:35
  platform
• 3:36
  that
• 3:36
  exists
• 3:36
  which
• 3:37
  has
• 3:37
  proven
• 3:37
  to
• 3:38
  drive
• 3:38
  predictable
• 3:39
  top
• 3:40
  line
• 3:40
  revenue
• 3:40
  growth
• 3:40
  for
• 3:41
  the
• 3:41
  last
• 3:41
  few
• 3:41
  years,
• 3:42
  not
• 3:42
  the
• 3:42
  only
• 3:42
  one
• 3:43
  at
• 3:43
  this
• 3:43
  point
• 3:43
  in
• 3:43
  time.
• 3:43
  I
• 3:43
  really
• 3:43
  wanted
• 3:44
  to
• 3:44
  clarify
• 3:44
  and
• 3:44
  emphasize
• 3:45
  that
• 3:45
  part.
• 3:46
  Noted,
• 3:47
  noted.
• 3:47
  You
• 3:47
  can
• 3:48
  come
• 3:48
  here
• 3:48
  to
• 3:48
  booth
• 3:48
  501
• 3:49
  and
• 3:49
  Dane
• 3:50
  will
• 3:50
  explain
• 3:50
  even
• 3:50
  more
• 3:51
  of
• 3:51
  that
• 3:51
  for
• 3:51
  you.
• 3:52
  You
• 3:52
  know,
• 3:52
  I'm
• 3:53
  going
• 3:53
  to
• 3:53
  talk
• 3:53
  about
• 3:53
  predictions
• 3:54
  a
• 3:54
  little
• 3:54
  bit
• 3:54
  more
• 3:55
  here.
• 3:56
  Udayn,
• 3:57
  what
• 3:57
  do
• 3:57
  you
• 3:57
  predict?
• 3:58
  Some
• 3:59
  of
• 3:59
  the
• 3:59
  retailers
• 3:59
  and
• 4:00
  brands
• 4:00
  attending
• 4:00
  Etail
• 4:01
  today
• 4:01
  are
• 4:01
  going
• 4:02
  to
• 4:02
  be
• 4:02
  asking
• 4:02
  you
• 4:02
  when
• 4:03
  they
• 4:03
  walk
• 4:03
  up
• 4:03
  to
• 4:03
  booth
• 4:04
  501
• 4:04
  today,
• 4:05
  what
• 4:05
  are
• 4:05
  some
• 4:05
  of
• 4:05
  the
• 4:05
  things
• 4:05
  that
• 4:06
  they're
• 4:06
  going
• 4:06
  to
• 4:06
  be
• 4:06
  looking
• 4:07
  for
• 4:07
  your
• 4:07
  help
• 4:07
  in
• 4:08
  solving?
• 4:08
  I
• 4:08
  would
• 4:09
  say
• 4:09
  three
• 4:10
  things
• 4:10
  probably
• 4:11
  sort
• 4:11
  of
• 4:11
  come
• 4:11
  to
• 4:11
  my
• 4:11
  mind.
• 4:12
  The
• 4:12
  first
• 4:12
  thing
• 4:13
  is
• 4:13
  very
• 4:13
  clearly
• 4:13
  in
• 4:14
  terms
• 4:14
  of
• 4:15
  we
• 4:15
  all
• 4:16
  live
• 4:16
  in
• 4:16
  very
• 4:16
  turbulent
• 4:17
  times,
• 4:17
  right.
• 4:17
  So
• 4:17
  I
• 4:17
  think
• 4:18
  the
• 4:18
  E
• 4:18
  commerce
• 4:18
  has
• 4:18
  been
• 4:18
  going
• 4:19
  through
• 4:19
  a
• 4:19
  massive
• 4:19
  up
• 4:19
  and
• 4:20
  down
• 4:20
  and
• 4:20
  so
• 4:20
  on
• 4:21
  and
• 4:21
  specifically
• 4:21
  since
• 4:22
  Netflix
• 4:22
  works
• 4:23
  with
• 4:23
  customers
• 4:23
  between
• 4:24
  20
• 4:24
  million
• 4:24
  and
• 4:24
  200
• 4:25
  million,
• 4:25
  so
• 4:25
  our
• 4:25
  mid
• 4:25
  market
• 4:26
  is
• 4:26
  our
• 4:26
  focus,
• 4:27
  we
• 4:27
  are
• 4:27
  seeing
• 4:27
  the
• 4:28
  margins
• 4:28
  getting
• 4:28
  extremely
• 4:29
  squeezed.
• 4:30
  So
• 4:30
  when
• 4:30
  you
• 4:30
  said
• 4:30
  the
• 4:30
  margins,
• 4:31
  basically
• 4:31
  the
• 4:31
  contribution
• 4:32
  margins
• 4:32
  are
• 4:32
  getting
• 4:32
  completely
• 4:33
  hammered
• 4:33
  because
• 4:34
  people
• 4:34
  are
• 4:34
  struggling
• 4:35
  to
• 4:35
  raise
• 4:35
  prices
• 4:36
  and
• 4:37
  at
• 4:37
  the
• 4:37
  same
• 4:37
  time
• 4:37
  the
• 4:37
  cost
• 4:38
  of
• 4:38
  operation
• 4:38
  has
• 4:38
  gone
• 4:38
  up
• 4:39
  quite
• 4:39
  dramatically
• 4:39
  as
• 4:39
  well.
• 4:40
  Right,
• 4:40
  right.
• 4:40
  I'm
• 4:40
  talking
• 4:41
  about
• 4:41
  even
• 4:41
  the
• 4:41
  advertising
• 4:41
  cost
• 4:42
  on
• 4:42
  Google.
• 4:42
  The
• 4:42
  CPCS
• 4:43
  on
• 4:43
  Google
• 4:44
  last
• 4:44
  year
• 4:44
  versus
• 4:45
  this
• 4:45
  year,
• 4:45
  February
• 4:46
  has
• 4:46
  been
• 4:46
  up
• 4:46
  by
• 4:46
  27%
• 4:47
  aggregate.
• 4:48
  Right.
• 4:48
  So
• 4:48
  I
• 4:48
  mean,
• 4:48
  all
• 4:48
  of
• 4:49
  this
• 4:49
  is
• 4:49
  a
• 4:49
  stress
• 4:50
  and
• 4:50
  lot
• 4:50
  of
• 4:50
  businesses
• 4:51
  at
• 4:51
  this
• 4:51
  point
• 4:51
  in
• 4:51
  time
• 4:52
  are
• 4:52
  just
• 4:52
  trying
• 4:53
  to
• 4:53
  identify
• 4:53
  as
• 4:54
  to
• 4:54
  what,
• 4:54
  what
• 4:54
  is
• 4:54
  that
• 4:54
  part,
• 4:55
  what
• 4:55
  is
• 4:55
  that
• 4:55
  thing
• 4:55
  that
• 4:55
  they
• 4:56
  should
• 4:56
  do
• 4:56
  which
• 4:56
  can
• 4:57
  really
• 4:57
  help
• 4:57
  him
• 4:57
  succeed.
• 4:57
  So
• 4:58
  I
• 4:58
  think
• 4:58
  that
• 4:58
  first
• 4:58
  one,
• 4:59
  what
• 4:59
  are
• 4:59
  some
• 4:59
  of
• 4:59
  the
• 5:00
  solutions
• 5:00
  available
• 5:01
  which
• 5:01
  can
• 5:01
  really
• 5:02
  help
• 5:02
  us
• 5:02
  shore
• 5:02
  up
• 5:02
  our
• 5:03
  margins?
• 5:04
  The
• 5:04
  second
• 5:04
  part
• 5:05
  I
• 5:05
  would
• 5:05
  emphasize
• 5:05
  is
• 5:05
  there
• 5:06
  is
• 5:06
  a
• 5:06
  lot
• 5:06
  of
• 5:06
  talk
• 5:06
  about
• 5:07
  AI
• 5:07
  and
• 5:08
  I
• 5:09
  really
• 5:09
  wish
• 5:09
  we
• 5:09
  get
• 5:10
  a
• 5:10
  question
• 5:11
  as
• 5:11
  to
• 5:11
  what
• 5:11
  truly
• 5:12
  AI
• 5:12
  that
• 5:13
  means
• 5:13
  for
• 5:13
  me,
• 5:13
  which
• 5:13
  solves
• 5:14
  the
• 5:14
  problem
• 5:14
  that
• 5:14
  is
• 5:15
  important
• 5:15
  for
• 5:15
  me
• 5:15
  does
• 5:16
  and
• 5:16
  how
• 5:16
  does
• 5:17
  it
• 5:17
  work.
• 5:17
  So
• 5:17
  I'm
• 5:17
  hopeful
• 5:18
  that
• 5:18
  people
• 5:19
  are
• 5:19
  able
• 5:19
  to
• 5:19
  find
• 5:19
  out
• 5:19
  and
• 5:20
  break
• 5:20
  through
• 5:20
  the
• 5:20
  clutter
• 5:20
  between
• 5:21
  any
• 5:22
  AI
• 5:22
  talk
• 5:22
  and
• 5:23
  AI
• 5:23
  which
• 5:23
  really
• 5:23
  works
• 5:24
  and
• 5:24
  drives
• 5:24
  top
• 5:24
  line
• 5:25
  growth.
• 5:25
  And
• 5:25
  the
• 5:26
  third
• 5:26
  and
• 5:26
  the
• 5:26
  final
• 5:26
  part
• 5:27
  is
• 5:27
  what
• 5:27
  are
• 5:27
  the
• 5:27
  new
• 5:27
  fun
• 5:28
  technologies
• 5:28
  which
• 5:28
  are
• 5:28
  out
• 5:29
  there
• 5:29
  and
• 5:30
  what
• 5:30
  are
• 5:30
  some
• 5:31
  of
• 5:31
  the
• 5:31
  problems
• 5:31
  that
• 5:31
  they
• 5:31
  are
• 5:31
  solving?
• 5:32
  So
• 5:32
  Net
• 5:33
  net,
• 5:33
  I
• 5:33
  think
• 5:34
  if
• 5:34
  people
• 5:35
  can
• 5:35
  just
• 5:35
  focus
• 5:35
  on
• 5:36
  two
• 5:36
  things
• 5:37
  in
• 5:37
  this
• 5:37
  show,
• 5:38
  the
• 5:38
  first
• 5:38
  is
• 5:38
  what
• 5:39
  problem
• 5:39
  are
• 5:40
  you
• 5:40
  trying
• 5:40
  to
• 5:40
  solve?
• 5:41
  The
• 5:41
  second
• 5:42
  is
• 5:43
  if
• 5:43
  you
• 5:43
  really
• 5:43
  work
• 5:44
  backwards
• 5:44
  from
• 5:44
  the
• 5:44
  outcome,
• 5:45
  the
• 5:45
  ideal
• 5:45
  outcome,
• 5:46
  how
• 5:46
  do
• 5:47
  you
• 5:47
  really
• 5:47
  redesign
• 5:47
  your
• 5:47
  work
• 5:48
  workflow?
• 5:48
  So
• 5:48
  I
• 5:48
  think
• 5:48
  those
• 5:49
  are
• 5:49
  the
• 5:49
  two.
• 5:50
  I
• 5:50
  sound,
• 5:50
  I
• 5:50
  know
• 5:50
  again
• 5:51
  like
• 5:51
  a
• 5:51
  professor.
• 5:52
  But
• 5:52
  you
• 5:52
  look
• 5:52
  like
• 5:53
  a
• 5:53
  professor
• 5:53
  today.
• 5:54
  Yes.
• 5:54
  And
• 5:55
  all
• 5:55
  this
• 5:55
  stuff.
• 5:55
  Right.
• 5:55
  So.
• 5:56
  But
• 5:56
  those
• 5:56
  are
• 5:56
  the
• 5:57
  two
• 5:57
  things
• 5:57
  I.
• 5:57
  Think
• 5:58
  and
• 5:58
  okay,
• 6:00
  so
• 6:00
  you're
• 6:00
  going
• 6:00
  to
• 6:01
  be
• 6:01
  on
• 6:01
  stage
• 6:01
  also.
• 6:02
  Yes.
• 6:02
  What
• 6:03
  are
• 6:03
  you
• 6:03
  going
• 6:03
  to
• 6:03
  be
• 6:03
  talking
• 6:03
  about
• 6:04
  on
• 6:04
  stage
• 6:04
  here
• 6:04
  at
• 6:04
  eto?
• 6:05
  What's
• 6:05
  the
• 6:05
  focus
• 6:05
  of
• 6:06
  that
• 6:06
  conversation?
• 6:07
  I
• 6:07
  think,
• 6:07
  I
• 6:07
  mean,
• 6:07
  we
• 6:07
  have
• 6:08
  somehow
• 6:08
  and
• 6:09
  in
• 6:09
  the
• 6:10
  last
• 6:10
  one
• 6:10
  year
• 6:10
  become
• 6:11
  a
• 6:11
  massive
• 6:12
  evangelist
• 6:12
  and
• 6:12
  proponent
• 6:13
  of
• 6:14
  the
• 6:14
  right
• 6:14
  AI
• 6:15
  and
• 6:15
  right
• 6:15
  problems.
• 6:16
  So
• 6:16
  we
• 6:16
  are
• 6:16
  a
• 6:16
  part
• 6:16
  of
• 6:16
  the
• 6:16
  New
• 6:17
  Jersey
• 6:17
  Big
• 6:17
  Data
• 6:17
  Council
• 6:18
  and
• 6:18
  all
• 6:18
  this
• 6:18
  stuff.
• 6:18
  I'm
• 6:19
  speaking
• 6:19
  in
• 6:19
  colleges,
• 6:20
  educating
• 6:20
  the
• 6:20
  students
• 6:21
  and
• 6:21
  all
• 6:21
  this
• 6:21
  stuff.
• 6:22
  So
• 6:22
  what
• 6:22
  I'm
• 6:22
  going
• 6:22
  to
• 6:22
  say
• 6:23
  is
• 6:23
  first
• 6:23
  define
• 6:24
  the
• 6:24
  problem.
• 6:24
  Right?
• 6:25
  Yes.
• 6:25
  Right.
• 6:26
  Because
• 6:26
  most
• 6:26
  of
• 6:26
  the
• 6:26
  people
• 6:26
  don't
• 6:26
  really
• 6:27
  know
• 6:27
  as
• 6:27
  to
• 6:27
  what
• 6:27
  is
• 6:27
  the
• 6:27
  right
• 6:28
  problem.
• 6:28
  And
• 6:29
  the
• 6:29
  second
• 6:29
  part
• 6:29
  is
• 6:30
  how
• 6:30
  do
• 6:30
  you
• 6:30
  really
• 6:30
  use
• 6:31
  responsible
• 6:32
  AI
• 6:32
  to
• 6:32
  solve
• 6:33
  those
• 6:33
  problems
• 6:33
  better
• 6:33
  than
• 6:34
  anyone
• 6:34
  else
• 6:34
  can
• 6:34
  do?
• 6:34
  Right.
• 6:35
  So
• 6:35
  those
• 6:35
  are
• 6:35
  the
• 6:35
  things.
• 6:36
  Right.
• 6:36
  Because
• 6:37
  I
• 6:37
  think
• 6:37
  what
• 6:38
  is
• 6:38
  happening
• 6:39
  is
• 6:39
  the
• 6:39
  entire
• 6:39
  channel
• 6:40
  marketing
• 6:40
  landscape,
• 6:41
  the
• 6:41
  Google
• 6:41
  and
• 6:41
  Meta
• 6:42
  and
• 6:42
  all
• 6:42
  that
• 6:42
  stuff
• 6:43
  that
• 6:43
  has
• 6:43
  been
• 6:43
  changing
• 6:44
  quite
• 6:44
  dramatically.
• 6:45
  And
• 6:45
  if
• 6:45
  you
• 6:45
  think
• 6:46
  that
• 6:46
  the
• 6:46
  old
• 6:46
  systems
• 6:47
  really
• 6:47
  work
• 6:47
  currently,
• 6:48
  it
• 6:48
  does
• 6:48
  not.
• 6:49
  Yeah.
• 6:50
  So
• 6:50
  I
• 6:50
  mean
• 6:51
  there
• 6:51
  is
• 6:51
  a
• 6:51
  70,
• 6:52
  2010
• 6:52
  thing
• 6:52
  that
• 6:52
  I
• 6:53
  probably
• 6:53
  will
• 6:53
  discuss.
• 6:54
  I
• 6:54
  know
• 6:54
  I'm
• 6:55
  probably
• 6:55
  sort
• 6:55
  of
• 6:55
  just
• 6:56
  sort
• 6:56
  of
• 6:56
  jumping
• 6:57
  ahead
• 6:57
  and
• 6:57
  telling
• 6:57
  this.
• 6:58
  So
• 6:58
  if
• 6:58
  you
• 6:58
  really
• 6:59
  look
• 6:59
  at
• 6:59
  it,
• 6:59
  work
• 7:00
  backwards
• 7:00
  from
• 7:00
  the
• 7:00
  Google
• 7:01
  results
• 7:02
  earlier,
• 7:02
  the
• 7:02
  core
• 7:03
  operations.
• 7:03
  So
• 7:03
  you
• 7:03
  had
• 7:03
  the
• 7:04
  keyword
• 7:04
  selection,
• 7:04
  that
• 7:05
  copywriting
• 7:05
  and
• 7:05
  all
• 7:05
  this
• 7:05
  stuff.
• 7:06
  So
• 7:07
  that
• 7:07
  was
• 7:08
  100%
• 7:08
  of
• 7:08
  this
• 7:09
  thing.
• 7:09
  So
• 7:09
  we
• 7:10
  believe
• 7:10
  that
• 7:11
  that
• 7:11
  needs
• 7:11
  to
• 7:11
  change.
• 7:12
  So
• 7:12
  70%
• 7:13
  of
• 7:13
  the
• 7:13
  core
• 7:14
  operations
• 7:14
  of
• 7:14
  Google.
• 7:15
  And
• 7:15
  I
• 7:15
  truly
• 7:15
  believe,
• 7:16
  and
• 7:16
  I
• 7:16
  know
• 7:17
  I'm
• 7:17
  going
• 7:17
  to
• 7:17
  scare
• 7:17
  a
• 7:17
  lot
• 7:17
  of
• 7:17
  people
• 7:18
  by
• 7:18
  saying
• 7:18
  this
• 7:19
  will
• 7:19
  be
• 7:20
  done
• 7:20
  by
• 7:20
  AI
• 7:20
  agents
• 7:20
  by
• 7:21
  the
• 7:21
  end
• 7:21
  of
• 7:21
  this
• 7:21
  year.
• 7:22
  Wow.
• 7:22
  So
• 7:22
  it
• 7:22
  would
• 7:22
  not
• 7:22
  require
• 7:23
  humor
• 7:24
  this
• 7:24
  year.
• 7:24
  By
• 7:24
  the
• 7:24
  end
• 7:24
  of
• 7:24
  this
• 7:25
  year,
• 7:25
  AI
• 7:25
  agents
• 7:25
  will
• 7:25
  be,
• 7:26
  I
• 7:26
  mean,
• 7:26
  you
• 7:26
  can
• 7:27
  always
• 7:27
  say
• 7:27
  that
• 7:27
  deep
• 7:27
  seek
• 7:28
  really,
• 7:29
  really
• 7:29
  hastened
• 7:30
  the
• 7:30
  entire
• 7:30
  development
• 7:31
  and
• 7:31
  all
• 7:31
  this
• 7:31
  stuff.
• 7:32
  So.
• 7:33
  But
• 7:33
  the
• 7:33
  balance
• 7:34
  30%,
• 7:35
  whoever
• 7:35
  masters
• 7:36
  that,
• 7:36
  I
• 7:36
  think
• 7:36
  will
• 7:36
  win
• 7:37
  big
• 7:37
  time.
• 7:37
  The
• 7:38
  30%,
• 7:38
  20%
• 7:39
  is
• 7:39
  going
• 7:39
  to
• 7:39
  be
• 7:40
  the
• 7:40
  regular
• 7:40
  experimentation
• 7:41
  component,
• 7:42
  identifying
• 7:42
  as
• 7:42
  to
• 7:42
  what
• 7:43
  are
• 7:43
  the
• 7:43
  incrementality
• 7:43
  tests
• 7:44
  and
• 7:44
  all
• 7:44
  this
• 7:44
  stuff.
• 7:44
  So,
• 7:45
  for
• 7:45
  example,
• 7:45
  later
• 7:46
  today
• 7:46
  I'm
• 7:46
  speaking
• 7:47
  with
• 7:47
  the
• 7:47
  CMO
• 7:47
  of
• 7:47
  Newton
• 7:48
  Baby
• 7:48
  Aaron
• 7:48
  Saga
• 7:49
  and
• 7:49
  we
• 7:49
  are
• 7:49
  talking
• 7:49
  about
• 7:50
  all
• 7:50
  these,
• 7:50
  the
• 7:51
  different
• 7:51
  type
• 7:51
  of
• 7:51
  culture
• 7:52
  of
• 7:52
  experimentation.
• 7:53
  But
• 7:53
  what
• 7:54
  we
• 7:54
  profess,
• 7:55
  and
• 7:55
  that's
• 7:55
  where
• 7:55
  LXR
• 7:56
  Insights
• 7:56
  we
• 7:56
  are
• 7:56
  trying
• 7:56
  to
• 7:56
  do,
• 7:57
  is
• 7:57
  the
• 7:57
  importance
• 7:58
  of
• 7:59
  assigning
• 8:00
  10%
• 8:00
  of
• 8:01
  your
• 8:01
  budget
• 8:01
  to
• 8:01
  what,
• 8:01
  what
• 8:02
  I
• 8:02
  call
• 8:02
  the
• 8:02
  strategic
• 8:02
  experimentation.
• 8:03
  Interesting
• 8:04
  experimentation
• 8:05
  drives
• 8:05
  top
• 8:06
  line
• 8:06
  revenue
• 8:06
  growth
• 8:07
  and
• 8:07
  is
• 8:07
  insanely
• 8:08
  profitable
• 8:08
  for
• 8:08
  your
• 8:09
  business.
• 8:10
  I
• 8:11
  have
• 8:11
  a
• 8:11
  question
• 8:11
  for
• 8:11
  you
• 8:12
  about
• 8:12
  that
• 8:12
  because
• 8:12
  I
• 8:12
  think
• 8:12
  that
• 8:13
  in
• 8:13
  these
• 8:13
  times
• 8:14
  where
• 8:14
  people
• 8:14
  are
• 8:15
  really
• 8:15
  trying
• 8:15
  to
• 8:15
  sweat
• 8:16
  their
• 8:16
  existing
• 8:16
  assets,
• 8:17
  they're
• 8:17
  trying
• 8:17
  to
• 8:18
  find
• 8:18
  those,
• 8:18
  those
• 8:19
  nuggets
• 8:19
  of
• 8:19
  where
• 8:20
  can
• 8:20
  I
• 8:20
  save
• 8:21
  some
• 8:21
  incremental
• 8:22
  or
• 8:22
  where
• 8:22
  can
• 8:23
  I
• 8:23
  save
• 8:23
  some
• 8:23
  money?
• 8:24
  How
• 8:25
  do
• 8:25
  you
• 8:25
  explain
• 8:26
  or
• 8:26
  help
• 8:27
  those
• 8:27
  listeners
• 8:28
  justify
• 8:28
  that
• 8:29
  10%
• 8:30
  that's
• 8:30
  going
• 8:30
  into
• 8:31
  a
• 8:31
  bucket
• 8:32
  of
• 8:32
  research
• 8:33
  and
• 8:33
  development
• 8:33
  or
• 8:34
  testing
• 8:34
  and
• 8:34
  the
• 8:35
  value
• 8:35
  of
• 8:35
  that.
• 8:36
  That's
• 8:36
  a
• 8:36
  great
• 8:37
  point.
• 8:37
  So
• 8:37
  at
• 8:37
  this
• 8:38
  point
• 8:38
  in
• 8:38
  time,
• 8:38
  I
• 8:38
  think
• 8:39
  if
• 8:39
  you
• 8:39
  really
• 8:39
  jump
• 8:40
  for
• 8:40
  10%,
• 8:40
  you
• 8:40
  probably
• 8:41
  will
• 8:41
  say
• 8:41
  no.
• 8:42
  Yeah,
• 8:42
  but
• 8:42
  can
• 8:42
  we
• 8:42
  really
• 8:43
  start
• 8:43
  with
• 8:43
  a
• 8:43
  smaller
• 8:43
  percent
• 8:43
  of
• 8:44
  the
• 8:44
  budget?
• 8:44
  Sure.
• 8:44
  Can
• 8:44
  we
• 8:45
  really
• 8:45
  prove?
• 8:45
  Because
• 8:46
  I
• 8:46
  think
• 8:46
  Even
• 8:46
  at
• 8:46
  about
• 8:47
  a
• 8:47
  3%
• 8:47
  of
• 8:47
  your
• 8:48
  overall
• 8:48
  budget,
• 8:48
  you
• 8:49
  can
• 8:49
  really
• 8:49
  prove
• 8:50
  almost
• 8:50
  like
• 8:50
  an
• 8:50
  MVP
• 8:51
  sort
• 8:51
  of
• 8:51
  a
• 8:51
  situation.
• 8:52
  Prove
• 8:52
  the
• 8:52
  case
• 8:52
  and
• 8:53
  then
• 8:53
  scale
• 8:53
  it
• 8:53
  from
• 8:53
  there.
• 8:54
  Sure.
• 8:55
  Okay.
• 8:55
  Well,
• 8:56
  Udayn,
• 8:56
  it's
• 8:57
  been
• 8:57
  so
• 8:57
  wonderful
• 8:58
  getting
• 8:58
  to
• 8:58
  catch
• 8:59
  up
• 8:59
  with
• 8:59
  you
• 8:59
  today.
• 9:00
  Please,
• 9:01
  please
• 9:01
  stop
• 9:01
  by
• 9:02
  visit
• 9:02
  Net
• 9:02
  elixir
• 9:03
  in
• 9:03
  booth
• 9:04
  501.
• 9:04
  They'll
• 9:04
  be
• 9:04
  here
• 9:05
  for
• 9:05
  the
• 9:05
  next
• 9:05
  couple
• 9:06
  of
• 9:06
  days.
• 9:06
  Udain's
• 9:07
  on
• 9:07
  stage
• 9:07
  tomorrow,
• 9:09
  so
• 9:09
  make
• 9:09
  sure
• 9:09
  you
• 9:09
  catch
• 9:10
  all
• 9:10
  of
• 9:10
  that
• 9:10
  content.
• 9:11
  Udine,
• 9:12
  any
• 9:12
  parting
• 9:13
  words
• 9:13
  of
• 9:13
  wisdom
• 9:14
  for
• 9:14
  people
• 9:14
  as
• 9:14
  they're
• 9:14
  out
• 9:15
  here
• 9:15
  getting
• 9:16
  the
• 9:16
  most
• 9:16
  out
• 9:16
  of
• 9:16
  e
• 9:17
  tail
• 9:17
  and
• 9:18
  getting
• 9:18
  the
• 9:18
  most
• 9:18
  out
• 9:18
  of
• 9:19
  the
• 9:19
  content
• 9:19
  here?
• 9:19
  I'll
• 9:20
  end
• 9:20
  with
• 9:21
  a
• 9:21
  very
• 9:21
  optimistic
• 9:22
  note.
• 9:22
  I
• 9:23
  love
• 9:23
  it.
• 9:24
  Focus
• 9:25
  on
• 9:25
  identifying
• 9:26
  the
• 9:26
  problems
• 9:26
  you
• 9:26
  want
• 9:26
  to
• 9:26
  solve.
• 9:27
  Solve
• 9:27
  rethink
• 9:28
  or
• 9:28
  re
• 9:29
  engineer
• 9:29
  the
• 9:29
  workflows.
• 9:30
  Yes.
• 9:31
  And
• 9:31
  you
• 9:31
  will
• 9:31
  get
• 9:32
  returns
• 9:32
  which
• 9:33
  are.
• 9:33
  Which
• 9:33
  sort
• 9:33
  of
• 9:34
  blow
• 9:34
  your
• 9:34
  mind.
• 9:34
  It's
• 9:35
  much
• 9:35
  bigger
• 9:35
  than
• 9:35
  what
• 9:36
  you
• 9:36
  probably
• 9:36
  initially
• 9:37
  were
• 9:37
  getting.
• 9:38
  You
• 9:38
  just
• 9:38
  have
• 9:38
  to
• 9:39
  really
• 9:39
  look
• 9:39
  at
• 9:39
  it
• 9:39
  from
• 9:39
  the
• 9:40
  different
• 9:40
  perspective.
• 9:40
  I
• 9:41
  keep
• 9:41
  on
• 9:41
  giving
• 9:41
  the
• 9:41
  example
• 9:42
  of
• 9:43
  my
• 9:43
  favorite
• 9:43
  movie,
• 9:44
  Dead
• 9:44
  Poet
• 9:44
  Society
• 9:45
  and
• 9:45
  Robin
• 9:45
  Williams,
• 9:46
  Right?
• 9:46
  Oh,
• 9:46
  yes.
• 9:46
  You
• 9:46
  really
• 9:47
  have
• 9:47
  to
• 9:47
  look
• 9:47
  at
• 9:47
  the
• 9:47
  world
• 9:47
  from
• 9:48
  different
• 9:48
  perspective.
• 9:49
  And
• 9:49
  the
• 9:49
  time
• 9:49
  for
• 9:50
  doing
• 9:50
  that
• 9:50
  is
• 9:50
  right
• 9:51
  now.
• 9:51
  Well,
• 9:51
  I
• 9:52
  love
• 9:52
  that
• 9:52
  advice.
• 9:53
  Exploring
• 9:54
  and
• 9:54
  finding
• 9:55
  the
• 9:55
  problem
• 9:55
  first,
• 9:56
  and
• 9:56
  then
• 9:57
  you'll
• 9:57
  be
• 9:57
  surprised.
• 9:58
  Right?
• 9:58
  I
• 9:58
  mean,
• 9:58
  with
• 9:58
  all
• 9:59
  the
• 9:59
  AI
• 9:59
  applications
• 10:00
  that
• 10:00
  are
• 10:00
  available
• 10:00
  to
• 10:01
  help
• 10:01
  you
• 10:01
  solve
• 10:01
  that
• 10:02
  problem,
• 10:03
  whether
• 10:03
  it's
• 10:03
  a
• 10:03
  partner
• 10:04
  like
• 10:04
  Net
• 10:04
  Elixir
• 10:05
  or
• 10:05
  one
• 10:05
  of
• 10:05
  the
• 10:05
  other
• 10:05
  partners
• 10:06
  here
• 10:06
  at
• 10:06
  Etail
• 10:07
  to
• 10:07
  help
• 10:08
  you
• 10:08
  first
• 10:09
  find
• 10:09
  the
• 10:10
  problem
• 10:10
  and
• 10:10
  then
• 10:11
  find
• 10:11
  the
• 10:11
  solution.
• 10:12
  Absolutely.
• 10:12
  All
• 10:12
  right,
• 10:12
  thank
• 10:13
  you
• 10:13
  so
• 10:13
  much.
• 10:13
  Thank
• 10:14
  you
• 10:14
  so
• 10:14
  much.
• 10:14
  Thanks
• 10:15
  for
• 10:15
  your
• 10:15
  help
• 10:15
  in
• 10:15
  making
• 10:16
  all
• 10:16
  of
• 10:16
  our
• 10:16
  coverage
• 10:16
  possible.
• 10:17
  And
• 10:17
  we'll
• 10:18
  be
• 10:18
  right
• 10:18
  back
• 10:18
  with
• 10:19
  another
• 10:19
  interview
• 10:19
  with
• 10:20
  Denise
• 10:20
  and
• 10:20
  Candela,
• 10:21
  the
• 10:21
  EVP
• 10:22
  of
• 10:22
  fashion
• 10:22
  at
• 10:22
  Walmart.
• 10:23
  And.
• 10:23
  And
• 10:23
  until
• 10:24
  then,
• 10:24
  be
• 10:24
  careful
• 10:25
  out
• 10:25
  there.