2866: Leading Digital Change: KPMG on the Future of AI in Business

[00:00:00] Reflecting on a conversation with James Osborne, KPMG's Chief Digital Officer, I recently found

[00:00:08] myself incredibly intrigued by the parallels he drew between the public's reaction to an

[00:00:14] AI chatbot called Eliza in the 1960s and today's responses to generative AI.

[00:00:21] For those of you that have not heard about Eliza, Eliza was developed by MIT, by Joseph

[00:00:27] Weisenbaum and it was a groundbreaking experiment in human and computer interaction, sparking

[00:00:34] both amazement, skepticism and horror, much like we're experiencing now because fast forward

[00:00:40] to the current era where AI technologies have evolved to perform tasks that seem to

[00:00:46] blur the lines between human and machine capabilities.

[00:00:51] These reactions really do seem to echo the past.

[00:00:54] So with this historical context as our backdrop, I invited James Osborne to join me right here

[00:01:00] on the podcast and dig a little deeper in this conversation and also how we can learn from

[00:01:06] the past to navigate the future of AI in a way that benefits society as a whole.

[00:01:12] So today you can look forward to an insightful discussion with myself and James Osborne where

[00:01:17] he is marking his one year anniversary as KPMG's Chief Digital Officer.

[00:01:24] In our conversation today we'll unravel James's reflections on that past year, focusing on

[00:01:29] the evolution and implementation of KPMG's artificial intelligence strategy.

[00:01:34] I also want to learn more about KPMG UK's internal AI assistant called Ava that has

[00:01:43] gone at over 11,000 users, I think promoting a culture of experimentation and adoption

[00:01:49] within the firm.

[00:01:50] And we'll also talk about their global initiative aimed at boosting AI literacy and engagement

[00:01:55] amongst KPMG employees last year, featuring participation from 16,000 individuals across

[00:02:03] 14 countries.

[00:02:04] And yes, we'll also talk about trusted AI frameworks, a set of guidelines ensuring

[00:02:10] the ethical and human centric use of AI technologies, and also reflections on the

[00:02:16] challenges and achievements of his first year in office, especially against the backdrop

[00:02:21] of this rapid rise of generative AI technologies.

[00:02:24] And I also want him to provide a few practical tips for organisations so if you're looking

[00:02:30] to embark on your own AI journey throughout your organisation, maybe you've been

[00:02:35] set under sidelines seeing how things go, maybe you want to jump on board but been

[00:02:39] very nervous about doing it, we're going to find out more about experimenting and

[00:02:43] engaging the workforce and ensuring you don't get left behind.

[00:02:47] Now before I get today's guest on, quick shout out to the sponsors of Tech Talks Daily, because

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[00:03:32] But now let's get today's guest on.

[00:03:34] So buckle up and hold on tight as I beam your ears all the way to London where

[00:03:40] James is waiting to share his story today.

[00:03:44] So a massive warm welcome to the show, James.

[00:03:46] Can you tell everyone this thing a little about who you are and what you do?

[00:03:51] Thanks, Neil. Yeah, I'm James Osborne.

[00:03:53] I've been involved in technology and professional services for about 25 years.

[00:03:58] And I'm the chief digital officer for KPMG UK.

[00:04:02] And that sits alongside my client responsibilities, but basically means

[00:04:06] I'm responsible for the definition and delivery of the digital strategy

[00:04:10] and for the running and improving of all our tech with inside the UK firm.

[00:04:15] And if I was to ask you to reflect on your first year as KPMG's chief digital officer,

[00:04:21] what would you say is the most significant learnings and maybe even

[00:04:24] surprises that you've encountered, particularly around the adoption

[00:04:28] and integration of AI within the firm?

[00:04:31] Because it seems to be all anyone's talking about.

[00:04:34] I looked at your thoughts on this and what you've experienced.

[00:04:37] Yeah, thanks, Neil.

[00:04:38] And the I mean, the timing was pretty interesting because as I came in,

[00:04:42] the wave of generative AI and Chatsy

[00:04:44] you can see was kicking off.

[00:04:45] So I sort of rode the wave of that early on.

[00:04:49] And the bit of still find pretty interesting about the whole thing is despite

[00:04:53] the changes in the speed and all the possibilities of AI,

[00:04:57] a lot of common sense things still remain pretty true.

[00:05:00] So a lot of last year has been balancing the unknown with the common sense

[00:05:05] and trying to come up with a sort of clearish view through it all.

[00:05:09] And we should also bring up, of course, the introduction of KPMG AI.

[00:05:14] I mean, anyone listening that hasn't heard about that?

[00:05:16] Could you just give me an overview of what that is?

[00:05:18] And also how you envision Gen AI, Chats, maybe transforming things like

[00:05:23] internal communications, operational efficiency within KPMG UK.

[00:05:28] And also why have been initial reactions from the team, etc.

[00:05:33] Because it's quite a big change.

[00:05:34] I'm curious everything that you've seen here too.

[00:05:37] The generative AI is massive, particularly for the professional services.

[00:05:41] I think with it, it's opportunity to change the way we work internally,

[00:05:45] the way we get value with clients is really been huge.

[00:05:49] And so Ava for us, as you mentioned, is our internal generative AI solution

[00:05:53] that we have upwards of 11,000 users engaging with and using as our internal version.

[00:06:01] And it's been fascinating to watch its progress.

[00:06:04] So on one side, encouraging people to play around with it and use it

[00:06:09] and see what it can do for their day-to-day activity has been pretty positive.

[00:06:15] But there's always cohorts within the firm and everywhere

[00:06:18] that need a bit more encouragement and a bit more help to use it.

[00:06:21] But we've been on a journey for about a year now with it

[00:06:24] and helping people find reasons and ways of using it safely

[00:06:29] has been really fascinating to watch.

[00:06:32] And it's interesting you say that.

[00:06:33] And I think a lot of business leaders around the world will be listening

[00:06:36] with great interest in this because you were talking about there,

[00:06:40] that trusted internal version.

[00:06:42] I think what has held a lot of business leaders back is that fear

[00:06:46] that their business data, their customer data is being used

[00:06:50] in large language learning models to train things like chat GPT.

[00:06:55] But of course, what we're talking about is that trusted internal version.

[00:06:59] So can you just tell me a little bit about doing this,

[00:07:01] especially for business leaders that maybe have stood back

[00:07:04] because they are all worried about using their data in this way?

[00:07:09] How it's made possible by what you've done with Ava here?

[00:07:12] I think as a profession, as a business,

[00:07:15] you've got no choice but to engage with this technology.

[00:07:18] You've got to find a way to make it work and work for you.

[00:07:22] And key to that is how you do that in line of what you've just said

[00:07:25] there around protecting your data and finding a way through it.

[00:07:28] So there are good solutions for these now

[00:07:31] where it allows you to set, let's call them guardrails

[00:07:34] that specify the rules of how you can use your internal data

[00:07:38] and actually provide much more protection

[00:07:40] if you set them up properly for your own data

[00:07:43] and get your people using it with the appropriate data internally.

[00:07:47] And in some ways, the risk can be greater if you don't find a protected way

[00:07:51] of turning this on because there's been stories of various organizations

[00:07:56] that have ended up with data they didn't want in the public chat GPT version.

[00:08:01] So I think we have to find a way to enable our people

[00:08:04] to use this technology safely.

[00:08:06] And then you get all the advantage from it is,

[00:08:09] you know, see how it all plays out.

[00:08:11] No one's exactly sure how this plays out,

[00:08:13] but Generative AI is going to be everywhere.

[00:08:16] It's going to be in pretty much every application that we've all got.

[00:08:19] So what differentiates your business from other businesses

[00:08:23] is going to be the data, the people, the expertise that you do have.

[00:08:26] So that's where you've got to protect and then find a way to to surface

[00:08:30] with inside the Generative AI or you just won't get the benefit.

[00:08:35] That's such a great point.

[00:08:36] And I was suspect that what 12, 18 months ago,

[00:08:39] there was a lot of businesses that just outright bandaged straight away,

[00:08:42] said, we're not doing this, we need to lock it down.

[00:08:44] And then as you said, those people within those organisations,

[00:08:47] they're still going to find ways to use it on the sliders will always happen.

[00:08:52] We saw it with Shadow IT many years ago, they'll always find a way.

[00:08:55] So building that is so important and can no longer say,

[00:08:59] well, we will do it in another year or in another two years.

[00:09:02] We'll add it to our roadmap kind of thing.

[00:09:05] Businesses are going to get left behind it.

[00:09:07] Don't start adopting this and don't start working smart and not harder.

[00:09:10] Right? Yes, I think that's right.

[00:09:12] And you've also got to realise your organisation has to go on a journey

[00:09:16] with the technology.

[00:09:17] So we've been playing with it at KPMG in the UK for a year,

[00:09:21] but you've got to bring the organisation with you,

[00:09:24] get them to experiment with it, get them to play with it.

[00:09:27] It's not just as simple as making it live

[00:09:30] and then hoping everything then unfolds from that.

[00:09:33] So you really have to engage with the people

[00:09:35] and find a way to work together to get the benefit out of the technology.

[00:09:40] And again, to further ease any business leaders' concerns.

[00:09:43] I think the trusted AI framework,

[00:09:46] I think that also marks a pivotal step towards ethical AI utilisation.

[00:09:50] So again, just to set the scene,

[00:09:52] can you elaborate on some of those core principles

[00:09:55] and how it's shaping KPMG's approach to AI deployment

[00:09:59] and indeed client solutions too?

[00:10:01] Certainly, sir.

[00:10:02] You can't prescribe for every instance, every example,

[00:10:06] every thing that you might want to do around the AI and data that you've got.

[00:10:10] So at KPMG, we set up the trusted AI framework

[00:10:13] that allows you to have a set of principles and a set of approaches

[00:10:17] that give you these guardrails of how we want people to act

[00:10:21] and how we expect them to act.

[00:10:22] And sure, there's technology controls around the data and access,

[00:10:27] but distilling them back to a couple of principles

[00:10:29] that really then allow teams to explore and experiment

[00:10:34] within the principle, this is what we looked at.

[00:10:37] So we focus on all the things that we do around generative AI,

[00:10:40] particularly being values led firstly.

[00:10:43] So in line with our values, human centric,

[00:10:46] so the human at the centre of what's occurring and what it's been used for,

[00:10:50] the AI is there to help us.

[00:10:52] And the third one is around it being and the results being trustworthy.

[00:10:56] So for us, it's the framework that makes those things a bit more real

[00:11:01] with some detail underneath it, but just outlining the approach

[00:11:05] we want to take with AI owner.

[00:11:08] And to further bring to life everything we're talking about here,

[00:11:11] I'd love to talk about some real-world examples.

[00:11:14] And the summer of AI was an ambitious initiative.

[00:11:17] I think you've reached something like 16,000 participants

[00:11:20] across 14 countries.

[00:11:22] So what were the key objectives of that program

[00:11:25] and how do you measure its success in terms of things

[00:11:28] like employee engagement and AI literacy

[00:11:31] and getting everyone on board, et cetera?

[00:11:33] Yeah, I mean, it's great you've heard of that.

[00:11:35] I mean, that was a lot of fun there.

[00:11:36] So it was how do we engage the organisation

[00:11:39] and learn a bit about this?

[00:11:41] And we didn't think we had all the answers centrally.

[00:11:44] So we sort of set up a fantastic innovation team

[00:11:47] instead of effectively kind of crowdsourcing several weeks

[00:11:50] with lots of different activities,

[00:11:52] lots of different initiatives and updates

[00:11:55] that people could come to if they had a spare time at lunch

[00:11:59] or any time to learn about what's going on

[00:12:03] to contribute and challenge.

[00:12:04] So we had, I can't remember, a couple of hundred sessions,

[00:12:08] very, very bite-sized sessions

[00:12:10] so you could get them something out of that 15, 30 minutes,

[00:12:13] give your views back and really be part of that conversation

[00:12:17] about AI and what it means.

[00:12:19] So yeah, the take-up was great.

[00:12:20] It broke down some fears and some preconceptions

[00:12:24] about AI and then gave us lots of other really good ideas

[00:12:27] on how we could use it internally and with clients.

[00:12:31] I suspect you must get a big kick out of that.

[00:12:33] When you see people coming with preconceptions,

[00:12:35] they have those fears and all the negative things

[00:12:38] that they may have read in their news feeds to,

[00:12:41] hey, this could actually be really valuable for us.

[00:12:43] It must be like quite a magical moment

[00:12:45] when you see that penny drop.

[00:12:46] It is, it's lovely.

[00:12:48] You know, I'm still not sure though where the,

[00:12:50] one of the difficulties in the last year

[00:12:52] has been trying to work out where the balance is.

[00:12:54] And on the one hand, my brain says,

[00:12:56] the first AI chatbot was built in like 1966.

[00:13:00] So we've seen what's that 50 plus years of this stuff in there.

[00:13:04] On the other hand, you've got to group the people

[00:13:06] saying that the entire world is going to change

[00:13:09] unrecognisably in the next 12 months.

[00:13:12] So navigating between those things is not clear.

[00:13:16] But yeah, it's a lot of,

[00:13:17] I think the way through it is engaging with people,

[00:13:19] getting them to play with it and seeing what it means

[00:13:22] for the work that they do.

[00:13:24] That's right.

[00:13:25] That's what makes it real.

[00:13:27] 100% with you.

[00:13:28] And looking forward, I'm not sure how much

[00:13:30] you will be able to share with everyone listening today.

[00:13:33] But how do you at KPMG plan to evolve this AI strategy,

[00:13:38] especially in response to the rapidly changing

[00:13:41] technological landscape?

[00:13:42] It's moving at breakneck speed at the moment.

[00:13:45] There's an argument that people never move this slow again,

[00:13:47] which makes it even more overwhelming.

[00:13:49] Especially considering the emerging needs of your clients

[00:13:52] are going to be turning to you

[00:13:53] and looking at you to help lead the way as well.

[00:13:55] Anything you could share around that?

[00:13:57] Yeah, so we've got an AI strategy.

[00:14:00] I won't bore you with the pillars,

[00:14:02] but there's different parts of AI

[00:14:04] for the different things it's trying to do.

[00:14:05] But for us, one of the most interesting evolutions

[00:14:08] has been what does it mean

[00:14:10] for the professional services knowledge base?

[00:14:13] So a lot of our expertise and a lot of what we do is

[00:14:16] knowledge that people have accumulated

[00:14:18] over many, many years.

[00:14:19] And how do you bring that knowledge to bear

[00:14:22] in a generative AI that then works alongside colleagues

[00:14:26] to deliver more value more quickly for clients?

[00:14:28] So it's a carefully curated sort of knowledge base

[00:14:32] of intelligence that works alongside practitioners.

[00:14:35] So something much more specific than a chat GPT

[00:14:38] that gets into that expertise

[00:14:40] that we've accumulated and deploys.

[00:14:43] That's something that we're really, really focused on.

[00:14:46] And we've done some great stuff already

[00:14:47] in the tax space, particularly the looks at that area.

[00:14:51] But that's one that I'm really focused on

[00:14:54] because I do think much of the generative AI

[00:14:57] will embed itself within existing technologies,

[00:15:00] whether they be Microsoft

[00:15:01] that we've got a fantastic alliance with

[00:15:03] and really helps with all the collaboration aspects.

[00:15:06] But it's that what's specific to us?

[00:15:08] What's the thing we need to protect and enhance

[00:15:11] as KPMG or as any business?

[00:15:14] That's the piece I think leaders

[00:15:16] really need to be thoughtful about.

[00:15:19] And I think when it comes to AI,

[00:15:20] I've always believed that it's about complimenting teams,

[00:15:23] not about replacing them.

[00:15:25] Whenever we report any new technology

[00:15:27] and I've seen this in my own IT career as well,

[00:15:30] when you put any new, new, shiny new technology

[00:15:32] or new solution in there,

[00:15:34] it's the culture aspect

[00:15:37] and getting embedded, getting people to use it.

[00:15:38] That's the thing that people often neglect.

[00:15:41] They get the must have technology

[00:15:42] but not the culture side of it.

[00:15:43] So I'm curious,

[00:15:46] were there any challenges or obstacles you faced

[00:15:48] in fostering that AI centric culture within KPMG?

[00:15:52] And how do you address that to ensure the firm's readiness

[00:15:56] for that digital transformation and that pace of change

[00:15:59] because you've got to get buying from everybody,

[00:16:01] haven't you?

[00:16:02] That's key.

[00:16:03] I mean, turning the technology on is relatively easy.

[00:16:07] Getting people to use it, to use it in new ways,

[00:16:10] that's always been tricky.

[00:16:12] We've tried lots of different things.

[00:16:14] We've got a group of digital ninjas,

[00:16:16] we've got people who really understand

[00:16:18] how to enable technology

[00:16:20] and work with people in our firm

[00:16:22] to get the most out of that technology.

[00:16:25] We've got lots of initiatives,

[00:16:26] as you mentioned there already,

[00:16:27] to get people to experiment with it,

[00:16:30] to break down the fear,

[00:16:32] to go and really understand what it is

[00:16:34] and then have a,

[00:16:35] they can feed it all back to us.

[00:16:36] So we just really try and encourage people to use it

[00:16:40] to see what it might mean for the way they work

[00:16:43] and then take those concerns, questions on board

[00:16:47] to keep embedding it.

[00:16:48] Because unless people do use it

[00:16:51] and unless people keep improving it,

[00:16:53] you just never really see the proper benefits.

[00:16:56] And one of the key challenges we had early on

[00:16:59] is when people would use it for the first time

[00:17:01] and they'd be a bit underwhelmed about it,

[00:17:02] they might have seen lots of hype

[00:17:05] on how it's going to transform their job

[00:17:07] and life completely.

[00:17:08] And then they go and use it

[00:17:09] and they go, oh, that's a bit less

[00:17:11] than I perhaps had expected.

[00:17:13] And getting them to come back again when it changes

[00:17:15] or getting them to use it in a slightly different way

[00:17:17] so they see the benefit.

[00:17:19] That had been one of the things that we've pushed through

[00:17:21] but it's fantastic when someone does use it

[00:17:23] for the first time and their eyes open

[00:17:26] and they see, wow, this is going to save me a lot of time.

[00:17:29] This is gonna allow me to, as an example,

[00:17:31] you know, stop taking such detailed meeting notes

[00:17:34] and help me do that transcription earlier

[00:17:38] and turn it into something useful.

[00:17:39] And when you see that happening

[00:17:41] and people start enjoying the dots themselves,

[00:17:43] that's what we're trying to achieve.

[00:17:46] And you mentioned digital ninjas there.

[00:17:48] Please tell me that somebody's job title.

[00:17:50] I would love that on my LinkedIn profile

[00:17:52] or passport form, Digital Ninja.

[00:17:54] Is this somebody got that title?

[00:17:56] Or is that just what you refer to them as internally?

[00:17:58] Well, they are digital ninjas

[00:18:00] but I've got the honorary chief digital ninja title

[00:18:04] and a nice type in to prove it.

[00:18:07] They're an awesome group of,

[00:18:09] we've got some full-time people

[00:18:11] and then a network of part-time ninjas across the business

[00:18:15] that are really passionate about technology

[00:18:17] and really passionate about how we use that

[00:18:19] within the firm.

[00:18:19] So it's a great thing that's been running

[00:18:21] for a few years now.

[00:18:23] Absolutely, love that.

[00:18:24] A quick shout out to all those digital ninjas

[00:18:26] that might be listening to us today

[00:18:28] and looking to the future

[00:18:29] as AI technologies continue to advance,

[00:18:32] there is gonna be that increasing emphasis

[00:18:34] on responsible AI.

[00:18:36] So question I have to ask,

[00:18:38] how are you at KPMG?

[00:18:39] How are you ensuring that your AI initiatives

[00:18:42] not only drive innovation

[00:18:43] but also adhere to some of those ethical standards

[00:18:46] and promote greater transparency

[00:18:48] because again, huge talking point right now.

[00:18:51] Definitely and one that you gotta be quite thoughtful about

[00:18:54] and there's layers to this, I think Neil,

[00:18:56] there's a, you've got to get the technology basics

[00:19:00] right and keep evolving them around,

[00:19:01] have the data stored, who's got access to it

[00:19:04] and ensure that the technological constraints

[00:19:07] kind of accurate and right.

[00:19:09] And then I think what works quite well is

[00:19:13] trying to work out what the guardrails are.

[00:19:14] What are the things that you can allow people

[00:19:16] to do and play with

[00:19:18] and what are the things that you don't want them to do

[00:19:20] and then being very clear on what behavior

[00:19:23] and what things you do expect within those guardrails

[00:19:26] has I think been key

[00:19:29] and then navigating the conversation

[00:19:30] across the organization on the risk and the fear

[00:19:34] and the negative aspects versus the growth aspects

[00:19:37] and ensuring that you find a path between them

[00:19:40] which has been lots of conversation

[00:19:42] around protecting against the risks

[00:19:44] and then try to enable the vast majority of people

[00:19:48] who understand how to use it ethically,

[00:19:50] we'll use it ethically

[00:19:51] and then you give them the tools

[00:19:52] to make sure that is the case.

[00:19:55] So if we look back at everything that you've achieved here

[00:19:58] especially from the vantage point of a business leader

[00:20:01] that could be listening anywhere in the world

[00:20:02] at the very, very beginning of their AI journey

[00:20:05] any advice that you'd give to an organization

[00:20:08] looking to embark on that similar journey

[00:20:10] of digital transformation and AI integration

[00:20:13] based on all your experiences

[00:20:15] and all your learnings at KPMG

[00:20:17] I'm sure you've picked up a few stories along the way

[00:20:19] but any advice that you would share?

[00:20:22] You know, I think don't wait to get started

[00:20:26] I think do engage with it

[00:20:29] and think about what it means for your business specifically

[00:20:31] what does it mean for where you drive value

[00:20:34] in your organization with your clients, with your customers

[00:20:38] where might you use it for efficiencies internally

[00:20:40] and really think about that

[00:20:42] but you don't need a grand strategy

[00:20:45] I think you can have something quite simple

[00:20:46] to get started, to get playing with it

[00:20:49] with some of those guiding principles and guardrails

[00:20:51] but then engage with your business

[00:20:53] engage with your clients and seek ways to explore

[00:20:56] and learn and keep refining it

[00:20:58] I think so, I think definitely getting started

[00:21:01] and exploring it is what I'd advocate very much

[00:21:07] Well, I know how incredibly busy you are

[00:21:09] so it's a huge pleasure to have you sit down

[00:21:11] and share your time

[00:21:13] and share some of your insights with me today

[00:21:15] and in return I'm gonna see if there's something

[00:21:17] we can do for you in return

[00:21:18] because there are some of the biggest names

[00:21:21] in business, VC, funding and tech

[00:21:23] of either being guests

[00:21:24] or maybe even listen to this podcast

[00:21:25] so if I was to ask you is there one person

[00:21:28] you'd love to have a private breakfast or lunch with

[00:21:30] who would it be and why

[00:21:31] because he or she might just be listening to this

[00:21:34] let's see what we can manifest together

[00:21:36] who would it be?

[00:21:38] Well, I did get a hint of that Neil

[00:21:40] so I was a bit thoughtful about it

[00:21:42] in the context of being in London

[00:21:44] but also I think in the AI context

[00:21:47] and we talked a little bit about

[00:21:49] the sort of human in the loop

[00:21:50] and I think the humanity in the loop

[00:21:52] and the person I would love to have breakfast for

[00:21:55] or on me at somewhere reasonably priced

[00:21:57] would be Jimmy Wales of Wikipedia fame

[00:22:01] because I think there is something

[00:22:03] in both the community and the approach to Wikipedia

[00:22:06] that we kind of missed I think a bit

[00:22:07] for the social media side

[00:22:09] but for the AI

[00:22:11] in the generated content that's coming out of that

[00:22:13] I think there's some really interesting stuff

[00:22:15] in that space

[00:22:17] around that digital trust with Wikipedia

[00:22:19] so I'd love to buy Jimmy breakfast and get his views.

[00:22:24] Absolutely love that

[00:22:26] well we'll throw that out into the universe

[00:22:28] into the ether

[00:22:29] let's see what we can make happen there

[00:22:30] just let me know if you do hear anything back

[00:22:34] but for anyone listening wanting to learn more

[00:22:37] about KPMG Ava that we discussed

[00:22:40] obviously KPMG is a huge website

[00:22:43] where would you like to point everyone listening?

[00:22:45] I think please come to our website

[00:22:47] and have a look

[00:22:49] there's the trusted framework

[00:22:50] there's some other things in there

[00:22:52] or get in touch

[00:22:53] there's various ways on the website to contact us

[00:22:55] and talk about your specifics of the query

[00:22:59] but through our websites

[00:23:00] the easiest I think now.

[00:23:02] Also well I'll provide links for everything

[00:23:04] so anybody listening can find that nice and easily

[00:23:07] and I just love chatting with you today

[00:23:09] about KPMG's new trusted AI framework

[00:23:12] that summer of AI event

[00:23:14] and so much more

[00:23:15] but thank you so much for sharing that with me today

[00:23:18] my pleasure thanks for having me

[00:23:20] so as our conversation comes to a close today

[00:23:23] I think it's clear that James Osborne's journey

[00:23:25] as KPMG's chief digital officer

[00:23:27] has been both transformative and enlightening

[00:23:30] and his strategic initiatives

[00:23:32] from rolling out an AI assistant at called Ava

[00:23:36] to spearheading the summer of AI

[00:23:38] and establishing the trusted AI framework

[00:23:41] for me all these things collectively highlight

[00:23:44] a forward-thinking approach to embracing AI

[00:23:47] while also of course ensuring ethical standards

[00:23:50] and human centric values are at the forefront

[00:23:53] but James's insights for me

[00:23:55] they don't just offer a roadmap

[00:23:56] for integrating AI into business processes

[00:23:59] but they also emphasise that critical balance

[00:24:02] between innovation and responsibility

[00:24:05] and that is where the magic happens.

[00:24:08] So hopefully you understood everything

[00:24:09] we tried to achieve in our conversation today

[00:24:12] and I'd love to hear your thoughts

[00:24:13] on how you and your business are going to balance

[00:24:16] that leveraging AI for business innovation

[00:24:20] while also ensuring ethical use

[00:24:23] and how your organisation is navigating

[00:24:25] the challenges of adopting AI

[00:24:28] while also fostering that culture of trust, inclusivity

[00:24:32] ensuring nobody gets left behind.

[00:24:34] So this is the part of the podcast

[00:24:35] where I invite you to share your perspectives

[00:24:37] join the conversation

[00:24:39] I don't have the answers today

[00:24:41] James has got fantastic experience

[00:24:42] but he doesn't have all the answers either

[00:24:44] but together that's where we can chart that path forward.

[00:24:48] So please email me now

[00:24:50] techblogriteroutlook.com

[00:24:52] Twitter, LinkedIn, Instagram

[00:24:53] just at neilseahews

[00:24:55] Join us we'll continue to explore

[00:24:57] the vast potential and responsibilities

[00:24:59] that come with the territory in artificial intelligence

[00:25:04] Other than that I'll return again tomorrow

[00:25:05] with another guest

[00:25:06] we'll explore a completely different topic

[00:25:08] but more than anything

[00:25:09] thank you for listening as always

[00:25:11] and until next time

[00:25:13] don't be a stranger