Latest / The DEX Show: A Show for IT Change Makers / Unlocking the Power of Copilot+ PCs: AI, Hardware, and Digital Adoption

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Unlocking the Power of Copilot+ PCs: AI, Hardware, and Digital Adoption · The DEX Show: A Show for IT Change Makers

• 0:01
  Speaker 1: Welcome it, change Makers to the Deck show with Tim
• 0:05
  Speaker 1: Flower and Tom McGraw. Let's get into it.
• 0:08
  Speaker 2: Hello, change Makers, Welcome to another episode of Reality Bites.
• 0:13
  Speaker 3: Today, I'm joined by Dina Seawan.
• 0:16
  Speaker 2: And Tim and I will need their help a little
• 0:18
  Speaker 2: more than usual because I am whatever the opposite of
• 0:21
  Speaker 2: fresh is. I am the opposite afresh off of the
• 0:25
  Speaker 2: Red Eye from Boston where I spent where I spent
• 0:27
  Speaker 2: two nights, and I've had about an hour's sleep sat
• 0:30
  Speaker 2: up in coach, so I'm feeling a little, a little
• 0:32
  Speaker 2: rough around the edge of Tim, and I know you
• 0:34
  Speaker 2: know a lot about these work trips visa, these bad
• 0:39
  Speaker 2: nights sleep, So you're gonna have to help out today
• 0:41
  Speaker 2: even more than usual.
• 0:42
  Speaker 3: Sarah's okay, it's all good.
• 0:44
  Speaker 4: And you know what, as someone who travels frequently, Tom,
• 0:47
  Speaker 4: I feel your pain. It's it can be a struggle.
• 0:51
  Speaker 3: It can struggle.
• 0:53
  Speaker 2: But we we have a we have a pretty interesting
• 0:56
  Speaker 2: topic as well, which which is gonna require everybodybody else
• 1:00
  Speaker 2: to be I think rather sharper than me, but I
• 1:02
  Speaker 2: think that's almost inevitable any week alone.
• 1:05
  Speaker 3: This one.
• 1:07
  Speaker 5: It is.
• 1:08
  Speaker 2: The theme is around co pilot plus and just a
• 1:11
  Speaker 2: little bit of background for people. We actually had some
• 1:15
  Speaker 2: really interesting conversations Sean and I, in particular with a
• 1:19
  Speaker 2: customer who must go unnamed, who drew our attention to
• 1:23
  Speaker 2: their interest in the new co Pilot Plus enabled PCs
• 1:26
  Speaker 2: that Microsoft announced a couple of months ago, and how
• 1:30
  Speaker 2: this kind of factored into their plans around hardware renewal
• 1:34
  Speaker 2: and around AI, both on this on the deck side,
• 1:37
  Speaker 2: but also on the side of the machines themselves. So
• 1:39
  Speaker 2: we thought it was a perfect storm, and we're gonna
• 1:42
  Speaker 2: we're going to explore the use case that they described
• 1:45
  Speaker 2: and some of the issues around these new PCs in general.
• 1:49
  Speaker 3: So let's start.
• 1:51
  Speaker 2: Sean, maybe you can set the scene for us the
• 1:53
  Speaker 2: people who haven't been following the story already. What is
• 1:56
  Speaker 2: co Pilot Plus and what in particular of a co
• 1:59
  Speaker 2: Pilot plus enabled PCs all about?
• 2:02
  Speaker 6: Sure, So first off to break it down, So Microsoft
• 2:06
  Speaker 6: Copilot without the plus is the generative artificial intelligence chat
• 2:10
  Speaker 6: abot development by Microsoft. Adding the plus, it's basically an AIPC,
• 2:17
  Speaker 6: So it's like a term used for a series of
• 2:20
  Speaker 6: new laptops next gen AI features that you can only
• 2:23
  Speaker 6: use on a computer with an NPU that's capable of
• 2:26
  Speaker 6: forty tops, so forty trillion operations per second, which we
• 2:31
  Speaker 6: have our experts to unpack and explain to all of
• 2:34
  Speaker 6: us with limited neurons today clading myself, but that's really
• 2:39
  Speaker 6: the difference. So it's just like it has a huge
• 2:42
  Speaker 6: boost and power, but more importantly efficiency in the operations
• 2:46
  Speaker 6: that it's conducting. And I saw just quickly because I
• 2:49
  Speaker 6: know DNA can explain this better than any of us.
• 2:52
  Speaker 6: But to compare it to like a traditional PC, I think,
• 2:55
  Speaker 6: like something with twenty core processors, there's some output of
• 2:59
  Speaker 6: like forger forty watts. With these new Copilot plus PCs,
• 3:03
  Speaker 6: it just takes one NPU and it's like less than
• 3:06
  Speaker 6: five watts of energy. I don't know if that's just
• 3:08
  Speaker 6: to do it to turn it on or what, but
• 3:11
  Speaker 6: that's kind of gives you an idea of just how
• 3:14
  Speaker 6: efficient it is. It's like taking a Prius and a
• 3:16
  Speaker 6: Ferrari and putting it together. Well, so I'll stop there
• 3:21
  Speaker 6: and then okay, I jump into some more good stuff.
• 3:24
  Speaker 2: You may or may not want to unpack what what
• 3:26
  Speaker 2: some of that means, but I'm actually directly interested. You
• 3:29
  Speaker 2: know how much I'm sure you're already aware of genes,
• 3:32
  Speaker 2: how much do they excite you in terms of their
• 3:34
  Speaker 2: potentiality and how impressive is the technology from what you're saying.
• 3:39
  Speaker 7: Well, Prias and Ferrari right, So if we start there,
• 3:42
  Speaker 7: that's efficiency, speed and everything that's super right at the
• 3:47
  Speaker 7: same time. So you'll get an output and you know
• 3:51
  Speaker 7: you could have that in a very reliable way. So
• 3:56
  Speaker 7: it excites me a lot to actually just see all
• 3:58
  Speaker 7: of this happening as quickly as it is. If you
• 4:01
  Speaker 7: go back, I don't know eight months ago when we
• 4:03
  Speaker 7: started talking about gpds and how ais are into the picture,
• 4:08
  Speaker 7: and this is eight months in. It's amazing and fantastic
• 4:12
  Speaker 7: how the results have been improving, how fast, how good,
• 4:16
  Speaker 7: and how accurate they are becoming on so many levels.
• 4:19
  Speaker 7: From that perspective, so AI is growing, will continue growing,
• 4:23
  Speaker 7: and it's set at bigger paces. The more we use it,
• 4:26
  Speaker 7: the better it learns and grows.
• 4:29
  Speaker 3: I just knew Dina would be hyped about this. I
• 4:32
  Speaker 3: knew I knew it.
• 4:34
  Speaker 2: But what you know, to go from a sort of
• 4:36
  Speaker 2: abstract of the particular show, there are some pretty cool
• 4:39
  Speaker 2: features which Microsoft have already kind of unveiled, that come
• 4:44
  Speaker 2: with or are built into these new functions, What stood
• 4:49
  Speaker 2: out to you about them, and where do you think
• 4:51
  Speaker 2: may make a difference to employees.
• 4:54
  Speaker 5: Yeah, there's several good ones.
• 4:56
  Speaker 6: I think at the top of the list that they
• 4:58
  Speaker 6: particularly promote is this feature called recall. So it's basically
• 5:03
  Speaker 6: a faster way to search and use like a timeline
• 5:06
  Speaker 6: look back on things that any type of document you're
• 5:09
  Speaker 6: working on, you can kind of just trace and it
• 5:11
  Speaker 6: almost is like taking capture an image of what you've done,
• 5:15
  Speaker 6: what you've done on the device, and where you've been,
• 5:18
  Speaker 6: so you could even like search. Say you're working on
• 5:21
  Speaker 6: a PowerPoint and you remember you were on a particular
• 5:23
  Speaker 6: slide that was green and there was a chart with
• 5:26
  Speaker 6: a light bulb, and that's all you kind of need for.
• 5:30
  Speaker 5: A prompt and it can help you find that. I
• 5:31
  Speaker 5: think we spend a.
• 5:32
  Speaker 6: Lot of our time searching for documents and conversations. And
• 5:36
  Speaker 6: they can also Copilot plus BC can help with things
• 5:40
  Speaker 6: like summarizing like an email thread, especially when you've dealt
• 5:44
  Speaker 6: with like budget issues that have their tentacles and multiple departments.
• 5:48
  Speaker 5: You can just kind of get to the heart of
• 5:50
  Speaker 5: it and.
• 5:50
  Speaker 6: See what each person said quickly for you. Another one
• 5:53
  Speaker 6: I thought was interesting is just have it provide a
• 5:57
  Speaker 6: recap of like a meeting that you're on with other folks,
• 6:00
  Speaker 6: don't have somebody else note taking, and really have everybody
• 6:02
  Speaker 6: present and actively following along and kind of push some
• 6:05
  Speaker 6: of that those tasks to the AI. I mean, obviously
• 6:10
  Speaker 6: the other big one is too that like it can
• 6:12
  Speaker 6: work for hours the device on just a single charge,
• 6:15
  Speaker 6: so we know how annoying that is when you have
• 6:17
  Speaker 6: to constantly charge your battery.
• 6:19
  Speaker 3: So that's I hadn't seen that one.
• 6:21
  Speaker 5: That's cool, yeah, and it just goes on.
• 6:23
  Speaker 6: There's a lot of other stuff too that I haven't
• 6:25
  Speaker 6: looked at too much, but more for like graphic design
• 6:28
  Speaker 6: and even like I believe, video editing, which really opens
• 6:32
  Speaker 6: it up to novices like ourselves where we can kind
• 6:34
  Speaker 6: of you know, manufacture and manipulate images and things like
• 6:38
  Speaker 6: that for presentations, which is nice.
• 6:41
  Speaker 3: Yeah. Thanks.
• 6:41
  Speaker 2: Sean actually reminds me tim of we had the last
• 6:45
  Speaker 2: episode we had Christy and Kelly on the show talking
• 6:48
  Speaker 2: to us about the way I is the way certain
• 6:52
  Speaker 2: AI functionalities can be used by managers to kind of,
• 6:56
  Speaker 2: you know, to better analyze group cools, to see who
• 6:59
  Speaker 2: was and wasn't confident and just this sort of the
• 7:04
  Speaker 2: permeation of AI into how we work is really really interesting,
• 7:08
  Speaker 2: both from the employee level, the managerial level, and of
• 7:11
  Speaker 2: course the I T level, which we'll get to. But
• 7:13
  Speaker 2: on that employee level, Tim, what any of the features
• 7:16
  Speaker 2: that stood out to you in terms of things that
• 7:18
  Speaker 2: would actually kind of impact the way you might work
• 7:22
  Speaker 2: or someone might work.
• 7:24
  Speaker 4: I think the first commentary is the technology always leads
• 7:28
  Speaker 4: the trust of the technology, so we've got to build
• 7:31
  Speaker 4: trust that the tech is being used for good and
• 7:34
  Speaker 4: not evil, especially when we're dealing with employees' careers and
• 7:37
  Speaker 4: managing people. So that's just the kind of the overall commentary.
• 7:40
  Speaker 4: But as an individual employee myself, here's what I'm looking
• 7:43
  Speaker 4: forward to is that very first one that Sean talked about. Recall,
• 7:47
  Speaker 4: I've gotten really accustomed to the current capabilities of document versioning,
• 7:55
  Speaker 4: so I don't need to keep a V one, V two,
• 7:57
  Speaker 4: v three of my docs. As I change, I can
• 8:00
  Speaker 4: back in within the doc and get prior versions. It
• 8:03
  Speaker 4: makes it so much easier. But if now I can
• 8:09
  Speaker 4: look across all my documents I've got at any given time,
• 8:13
  Speaker 4: seven eight nine different presentations I'm working on for different audiences,
• 8:17
  Speaker 4: but all similar content. And I can't tell you how
• 8:19
  Speaker 4: many times I said, you know what, I got a slide,
• 8:21
  Speaker 4: or I modify the slide. I want to use that
• 8:23
  Speaker 4: in this other one. How do I find it? If
• 8:26
  Speaker 4: it can help me find that content across my documents,
• 8:30
  Speaker 4: if it can help me recall an email that I
• 8:32
  Speaker 4: sent that I don't remember who I sent it to,
• 8:35
  Speaker 4: or a team's chat and a conversation but I don't
• 8:37
  Speaker 4: remember who was on the chat. If it can help me,
• 8:41
  Speaker 4: especially now in my advanced years of my career, Tom,
• 8:45
  Speaker 4: I've got a little less RAM up in the nogin now,
• 8:48
  Speaker 4: and I actually I've got probably the same amount of RAM,
• 8:51
  Speaker 4: but it's full. I have no memory left. Yeah, So
• 8:55
  Speaker 4: if it can help me operate at a more efficient level,
• 9:00
  Speaker 4: it's going to be huge.
• 9:03
  Speaker 3: That's a really cool analysis.
• 9:04
  Speaker 2: And Dina, so the customer that we've spoken to about this,
• 9:13
  Speaker 2: As I mentioned of a top of a discussion, it
• 9:16
  Speaker 2: brings in the question of hardware renewal right, quite quite conspicuously,
• 9:20
  Speaker 2: of course, especially when you're looking at machines which are
• 9:23
  Speaker 2: I guess potentially more expensive but potentially much more impactful
• 9:26
  Speaker 2: than your average hardware hardware renewal might present and this
• 9:31
  Speaker 2: brings with it issues related to decks, to hardware renewal,
• 9:36
  Speaker 2: to budgets, et cetera. Can you give an overview maybe
• 9:40
  Speaker 2: of what these essentials are in general and as they
• 9:42
  Speaker 2: might pertain specifically.
• 9:45
  Speaker 7: Yeah, that could be plentiful of things. And it's not
• 9:48
  Speaker 7: just deploying any new hardware, whether it's updating NPU's devices
• 9:53
  Speaker 7: like the AI driven devices Windows eleven AI centric features
• 9:58
  Speaker 7: that are embitdted within Windows eleven that do all of
• 10:00
  Speaker 7: the recognizing of speech, understanding images, or improving the battery
• 10:04
  Speaker 7: life and everything that Sean and Tim have mentioned earlier,
• 10:08
  Speaker 7: pretty good considerations. Is not just to replace the device
• 10:12
  Speaker 7: for the sake of it. So we need to keep
• 10:13
  Speaker 7: sustainability in mind as well. So we need to have
• 10:18
  Speaker 7: a role based access control kind of consideration or metric
• 10:23
  Speaker 7: in the background or attribute based access control. How much
• 10:27
  Speaker 7: we are using the devices that we already have in place,
• 10:31
  Speaker 7: and actually how it would be helpful for us to
• 10:34
  Speaker 7: do any advancement or replacement into those hardware to help
• 10:38
  Speaker 7: us see or pre set the scene before making the
• 10:43
  Speaker 7: decision to purchase extra devices or expensive devices or ALI
• 10:46
  Speaker 7: driven devices. Right so we need to do pre planning
• 10:50
  Speaker 7: to understand like capacity planning more or less, how these
• 10:53
  Speaker 7: hardwarees are going to be utilized and what is the
• 10:55
  Speaker 7: current utilization of our employees. So looking at it from
• 11:01
  Speaker 7: human perspective, being very careful of the benefits that it
• 11:05
  Speaker 7: would add and the profiles and the roles that we
• 11:08
  Speaker 7: are going to replace those devices for, whether they are
• 11:11
  Speaker 7: on entry level, mid level managers, executives, et cetera, and
• 11:16
  Speaker 7: of course depending on their departments and roles later on.
• 11:19
  Speaker 7: So all of that is to be put into consideration
• 11:22
  Speaker 7: which we have not been putting in the past. Before
• 11:25
  Speaker 7: considering decks into the equation, we were just replacing devices
• 11:29
  Speaker 7: when they were expiring or when it was due to
• 11:32
  Speaker 7: be renewed, et cetera. Putting copilot in place as well,
• 11:35
  Speaker 7: or copilot plus deploying all of those new technology AI
• 11:40
  Speaker 7: driven We need to also keep proper data governance. We
• 11:43
  Speaker 7: need to keep in place security aspects and compliance if
• 11:48
  Speaker 7: there would have an impact, and we can have an
• 11:51
  Speaker 7: AI impact assessment just to look at the risk and
• 11:54
  Speaker 7: privacy implications like Tim was looking at that or highlighting
• 11:59
  Speaker 7: that in previous sentence, and ensure the compliance of the
• 12:03
  Speaker 7: regulations within the geographical restrictions if there is any, or
• 12:07
  Speaker 7: the company restrictions if there is any, and making sure
• 12:11
  Speaker 7: that we have the data labeling, have correct and accurate
• 12:15
  Speaker 7: data labeling for the crucial AI understanding and processing, so
• 12:18
  Speaker 7: whatever we're looking at from an AI perspective is labeled
• 12:22
  Speaker 7: properly and tagged in an easier manner for us to
• 12:25
  Speaker 7: be using it multiple and across.
• 12:30
  Speaker 2: Absolutely, and Tim put in the chat when we were
• 12:33
  Speaker 2: discussing this theme, but it's not just a matter of
• 12:37
  Speaker 2: it's not just a matter of suitable technology. It's also
• 12:41
  Speaker 2: a matter of digital adoption right in. Obviously a thing
• 12:44
  Speaker 2: we've spoken about a lot this year, but it does
• 12:47
  Speaker 2: spring to mind when you're actually giving out new machines
• 12:50
  Speaker 2: with radically new functionality, right.
• 12:53
  Speaker 4: Yeah, A digital adoption has always been a struggle for it.
• 12:59
  Speaker 4: We focus on the bits and the bites, how do
• 13:01
  Speaker 4: we can figure it, how do we roll it out?
• 13:02
  Speaker 4: And then it's up to the business. It's up to
• 13:04
  Speaker 4: the employees to figure out how to use it or
• 13:06
  Speaker 4: how to be trained on it. It's it's a perennial
• 13:09
  Speaker 4: struggle and it comes down to a couple of things.
• 13:11
  Speaker 4: One people need to be educated on even just the
• 13:15
  Speaker 4: art of the possible. Why are you giving this to me?
• 13:17
  Speaker 4: What am I going not only what am I going
• 13:20
  Speaker 4: to be able to do, but what are your expectations
• 13:23
  Speaker 4: that I should do with it? There's obviously a business
• 13:26
  Speaker 4: reason that you're doing that. We're making this change in
• 13:29
  Speaker 4: hardware or software. What's your expectation? And then once I
• 13:33
  Speaker 4: understand what I can do, what I should do? Most importantly,
• 13:36
  Speaker 4: how do I do it? Where's the training? How do
• 13:38
  Speaker 4: you educate me on actual mechanics of using this new
• 13:42
  Speaker 4: piece of technology. Sure AI is going to make it easier,
• 13:45
  Speaker 4: but you know it comes with a certain element of
• 13:50
  Speaker 4: fear as well as of learning that new technology. The
• 13:54
  Speaker 4: second part is there's this underlying fear and I don't
• 14:00
  Speaker 4: like to use the word fear, but it's a concern
• 14:03
  Speaker 4: in it that people might make mistakes right, they might
• 14:06
  Speaker 4: use it the wrong way, or we might not have
• 14:08
  Speaker 4: the right controls around it. So there's hesitancy or delay
• 14:12
  Speaker 4: in providing that access. We need to make sure we
• 14:14
  Speaker 4: understand it fully, that people understand how to use it,
• 14:17
  Speaker 4: that they don't screw it up. And then the last
• 14:20
  Speaker 4: part is in terms of adoption, is many new technologies
• 14:25
  Speaker 4: are delayed while security teams assess that no harm can
• 14:29
  Speaker 4: come from that new technology, either inadvertently or intentionally, even
• 14:33
  Speaker 4: an internal bad actor. So there's lots of delays that
• 14:36
  Speaker 4: can introduced with stress testing and validation. And if there
• 14:40
  Speaker 4: is a finding, then what controls are you going to
• 14:42
  Speaker 4: put around that finding. I'll give you one quick example
• 14:45
  Speaker 4: and I'll date myself. When the Blackberries first came out,
• 14:48
  Speaker 4: they were email only, and the big concern and security
• 14:52
  Speaker 4: was they integrated a cell phone with the email device.
• 14:54
  Speaker 4: And now we have two things on one machine. What
• 14:57
  Speaker 4: will people be able to do with that?
• 14:59
  Speaker 3: With that?
• 14:59
  Speaker 4: And then oh my god, they put a cell phone
• 15:01
  Speaker 4: on it. People can now take pictures and email those pictures.
• 15:05
  Speaker 4: So we actually had to disable the camera on the
• 15:08
  Speaker 4: Blackberries to avoid that security problem. So new technology, yeah,
• 15:12
  Speaker 4: those are integrated tech tech. Now we've solved those issues,
• 15:15
  Speaker 4: but new tech always has security and adoption concerns that
• 15:19
  Speaker 4: delay enterprises from taking full advantage of what's available.
• 15:24
  Speaker 3: So the old Blackberries had cameras, did they him?
• 15:27
  Speaker 4: The old BlackBerry had no camera and no cell phone.
• 15:29
  Speaker 4: It was just email.
• 15:31
  Speaker 2: Okay, right, sorry, So Denny, you started to allude there
• 15:37
  Speaker 2: to the kind of process of pairing employees with the
• 15:41
  Speaker 2: right hardware and software, and how AI on the sort
• 15:45
  Speaker 2: of dex analysis side is starting to sort of help
• 15:48
  Speaker 2: iterate that process. And that's something that the customer I've
• 15:51
  Speaker 2: been alluding to was also excited about. And this kind
• 15:55
  Speaker 2: of brings into focus the issue of personas, and we're
• 15:59
  Speaker 2: gonna we're gonna ask about personas as well, because you
• 16:01
  Speaker 2: describe them as the big foot of it, and I
• 16:03
  Speaker 2: want to pick up on that comment. But first of all,
• 16:06
  Speaker 2: how do you see this as becoming increasingly relevant in
• 16:09
  Speaker 2: the use case such as this.
• 16:11
  Speaker 7: I think it's very relevant to be able to customize.
• 16:14
  Speaker 7: And it's all about customization, right. We all have the
• 16:17
  Speaker 7: same technology more or less available at our fingertips, but
• 16:21
  Speaker 7: how we utilize it this is different. Right, Even if
• 16:25
  Speaker 7: we are in the same role in the same organization,
• 16:28
  Speaker 7: we might be doing things differently. Right, everybody's having their
• 16:31
  Speaker 7: own creative aspect of their input into whatever they are
• 16:36
  Speaker 7: trying to deliver. So having an assessment of persona and
• 16:40
  Speaker 7: keeping in mind the usage of how you are using
• 16:43
  Speaker 7: the devices and technology in hand versus the assigned profile.
• 16:47
  Speaker 7: So it's a hardware and the software kind of assessment
• 16:51
  Speaker 7: goes hand in hand. However, this is not where it stops.
• 16:54
  Speaker 7: This is where it well, this is where it starts.
• 16:57
  Speaker 7: Actually doesn't stop there because you need to keep X
• 17:01
  Speaker 7: in mind as well. You need to keep the experience
• 17:03
  Speaker 7: that I'm getting. So I might want to have a
• 17:05
  Speaker 7: device of X SPEX and the application of AI, X, Y,
• 17:10
  Speaker 7: and Z, but then putting them together might not be
• 17:13
  Speaker 7: compatible or it might not be optimal for the increase
• 17:17
  Speaker 7: of my productivity as an employee or even as a user.
• 17:20
  Speaker 7: So we need can we use AI to help in
• 17:23
  Speaker 7: the process in the background, or can I help us
• 17:26
  Speaker 7: with analytics in the background, of course, because it will
• 17:29
  Speaker 7: give us a lot of insight. Like going back to
• 17:33
  Speaker 7: the example Tim was referring to earlier, having five six
• 17:36
  Speaker 7: slides open, and you're looking for which one did I
• 17:38
  Speaker 7: update or which and for piece of information do I
• 17:41
  Speaker 7: remember I just maybe remember the name of the file.
• 17:43
  Speaker 7: I don't remember who I sent it to, when did
• 17:45
  Speaker 7: I share it or even was it through my email, teams,
• 17:48
  Speaker 7: chat or even kept on SharePoint example, right, So looking
• 17:52
  Speaker 7: at things across having that full visibility, could you use
• 17:56
  Speaker 7: AI in the background to do that for sure? And
• 17:59
  Speaker 7: it will see, gave you time, energy, and will be
• 18:01
  Speaker 7: more accurate, not just like a specific guessing point. So
• 18:05
  Speaker 7: it will improve our way of looking into analytics and
• 18:08
  Speaker 7: into actually consuming or understanding the persona and doing the
• 18:13
  Speaker 7: persona assessment. So which will lead us to better utilization
• 18:17
  Speaker 7: or better allocation of whatever the product that it's going
• 18:21
  Speaker 7: to be a hardware or a software to improve the
• 18:23
  Speaker 7: employees productivity.
• 18:25
  Speaker 2: Let's say, do you agree with that Tim is the
• 18:27
  Speaker 2: big I about to be captured?
• 18:34
  Speaker 4: So we've talked about it, So here's the analogy with Bigfoot.
• 18:38
  Speaker 4: We've talked about it for decades. People claim to have
• 18:41
  Speaker 4: seen it or solve the mystery, but it's still folklore.
• 18:45
  Speaker 4: We still were not quite sure if Bigfoot actually exists
• 18:48
  Speaker 4: or if we can solve the problem. I think, to
• 18:51
  Speaker 4: Dena's point, matching what people use, what they do with that,
• 18:56
  Speaker 4: and how they work, where they work, and matching that
• 18:59
  Speaker 4: with the right hardware and software for their role and
• 19:02
  Speaker 4: their job type. It's been a struggle for a long time.
• 19:06
  Speaker 4: But now with full visibility into all those elements and
• 19:11
  Speaker 4: AI to be able to correlate and assess the data,
• 19:14
  Speaker 4: which is too much volume for a human to do
• 19:18
  Speaker 4: AI can now do the analysis, make the recommendation, and
• 19:22
  Speaker 4: then you integrate that with your delivery platforms. Now you've
• 19:25
  Speaker 4: found bigfoot. Now you've got the ability to say, yes,
• 19:29
  Speaker 4: it's real, we have it here and here's what it
• 19:31
  Speaker 4: looks like.
• 19:34
  Speaker 2: Any final thoughts tim on sort of role of data
• 19:38
  Speaker 2: in this more generally, whether it's for hardware renewal and
• 19:41
  Speaker 2: an individual user basis or on a sort of mass scale,
• 19:45
  Speaker 2: and how new sources of data are changing the dynamics
• 19:50
  Speaker 2: the art of a possible in this area.
• 19:53
  Speaker 4: I think it's a combination of new data and new
• 19:56
  Speaker 4: data collection because AI is only as smart as the
• 20:00
  Speaker 4: data that it has available to it, so being able
• 20:03
  Speaker 4: to feed the engine with the right information to make
• 20:07
  Speaker 4: the right decisions is a big piece of it. But
• 20:10
  Speaker 4: to go back to these PCs, the standard process of
• 20:15
  Speaker 4: hardware refresh and hardware renewal has changed. We've kind of
• 20:19
  Speaker 4: made that shift from away from age based refresh, which
• 20:25
  Speaker 4: was static you get a new machine every four years
• 20:27
  Speaker 4: whether you want it or need it or not, and
• 20:30
  Speaker 4: moved to performance based refresh. You get the right device
• 20:33
  Speaker 4: at the right time based on what you do. I
• 20:35
  Speaker 4: think the change now with this performance escalation in devices
• 20:43
  Speaker 4: is that hardware may no longer be chasing software load.
• 20:47
  Speaker 4: In other words, you get a new machine because the
• 20:49
  Speaker 4: old machine just simply can't keep up with the advancements
• 20:51
  Speaker 4: of software. With these new capabilities and new capacities, that
• 20:56
  Speaker 4: hardware may have certainly not an infinite like span, but
• 21:01
  Speaker 4: definitely a longer life span than we've seen in the past,
• 21:05
  Speaker 4: and software may not be the determining factor. Software load
• 21:10
  Speaker 4: might not be that determining factor on when you get
• 21:13
  Speaker 4: a new machine. The capacities for creating data and for
• 21:17
  Speaker 4: delivering the work that you do is going to be
• 21:20
  Speaker 4: much different now, and it'd be really interesting to see
• 21:24
  Speaker 4: for any given device, what does all of this mean,
• 21:27
  Speaker 4: both the analytics on do you even need a machine
• 21:31
  Speaker 4: and the new devices with capacity. We could see people,
• 21:34
  Speaker 4: you know, to the sustainability question even why get rid
• 21:38
  Speaker 4: of a machine in four or five years when they
• 21:40
  Speaker 4: can now last you know, five, six, seven years. It's
• 21:44
  Speaker 4: going to be interesting to see where it goes.
• 21:47
  Speaker 2: The need to be on absolute fire today in particular,
• 21:50
  Speaker 2: any any last falls on this before.
• 21:52
  Speaker 3: We wrap it up.
• 21:55
  Speaker 7: I agree, and I think it will help us eventually
• 21:58
  Speaker 7: get rid of our footprints of hardware out there right,
• 22:02
  Speaker 7: So the longer we can sustain hardware device, the better
• 22:08
  Speaker 7: it will be for the environment and us delivering replacing
• 22:12
  Speaker 7: and coast reduction, et cetera. So all of the beautiful
• 22:16
  Speaker 7: value that we can get out of this, and I
• 22:19
  Speaker 7: think using AI, having smarter NPUs having smarter devices. Now
• 22:26
  Speaker 7: it's it's a big investment at the meantime, but it
• 22:28
  Speaker 7: will be more sustainable as we go. So we might
• 22:32
  Speaker 7: see a little bit of a degradation in the hardware
• 22:34
  Speaker 7: aspect and then more on the software one, but it
• 22:37
  Speaker 7: would still the hardware that we have right now would
• 22:40
  Speaker 7: stay a little bit longer than we anticipate it.
• 22:43
  Speaker 2: Assume well, I got to say everyone, you've you've renewed
• 22:47
  Speaker 2: my hardware today.
• 22:50
  Speaker 3: You need it.
• 22:50
  Speaker 4: You still need to go take a nap too. I
• 22:55
  Speaker 4: there you go go somewhere.
• 22:57
  Speaker 3: Remote off the whales, off the whales.
• 22:59
  Speaker 2: Actually lovely to talk to you all, a really great conversation,
• 23:04
  Speaker 2: and thank you so.
• 23:04
  Speaker 3: Much, soe you.
• 23:05
  Speaker 2: We'll see you guys, bye, thank you, bye bye.
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• 23:31
  Speaker 1: Until next time.