Sanjeevan Bala, Media and Entertainment Leader, Non Executive Director, Bakkavor, SThree; Advisor, DataIQ, Gartner Clare Hickie, Chief Technology Officer, EMEA, Workday Stuart Martin, Director, Group People Operations and People Platform Leader, Lloyds Banking Group
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TechTranscript
00:00 So we're going to take a few minutes now to hear from three people in the audience who have direct experience with using these technologies in business.
00:09 The tough part about this is they each have two minutes and only two minutes to introduce themselves and tell you what they're doing that may be relevant to you.
00:19 And Sanjeev Anbala, please, you go first.
00:23 Thank you.
00:24 So I've been the chief data and AI officer for a number of media entertainment companies, and it's true of many of these companies, we are trying to do three things effectively.
00:32 Acquire consumers, get them to watch more content and monetize that content.
00:36 We've deployed AI across all three of those use cases, and in some areas we've seen reductions that would take us process that took three months down to three minutes.
00:44 Other areas we've deployed increasing advertising yields.
00:47 My top four learnings.
00:48 Firstly, this is all about change and people change.
00:51 So the golden ratio is 70/20/10.
00:54 70% on people change, 20% on technology and data, 10% on the algorithms.
00:59 Secondly, proof of concepts.
01:02 I wouldn't bother proof of concepts because proof of concepts is proof of cost.
01:06 I'd move to a model of proof of value because you've mapped the value with business stakeholders and get the business stakeholders to buy into that value case.
01:13 Third learning is the last mile.
01:16 Fix the last mile first.
01:17 So that's the process in marketing, the technology, and what people skilling do you need to do to enable the last mile of value realization.
01:24 And finally, develop FOMO.
01:27 Measure the benefits and get marketing to talk about those benefits so that other stakeholders then want to have some of those benefits as well.
01:33 Boy, that's great advice if you all didn't write it down.
01:36 70/20/10 rule, which is 70% of it is about the people.
01:42 Yeah.
01:45 Number two was...
01:46 Come on, help me.
01:50 Last mile, get the last mile and create FOMO to get people in.
02:01 Thank you for that.
02:02 Next up is Clare Hickey from Workday.
02:04 Clare, please.
02:04 Hi, thank you very much.
02:05 Can I just say it's really hard for an Irish person to talk in two minutes.
02:09 My name is Clare Hickey.
02:11 I'm the CTO for ME@Workday.
02:13 Fascinating afternoon.
02:16 One thing I'm going to pick up on is around skills in particular.
02:18 And it is around...
02:20 One is obviously the fear of the job lost and is the computer going to take over my jobs and everything that goes with it.
02:27 Can I just say three things on this?
02:28 One is who knows what's going to happen, but it's always going to need humans.
02:33 And the biggest right that we have, and it's been demonstrated time and time today, is the right of decision making.
02:40 So no matter what other skill may be taken by the computer, the power of the decision is not going to be taken away from us.
02:45 So let's upskill on that one alone.
02:48 The second one is upskilling without AI.
02:51 It's really hard to upskill.
02:52 And the third one is use AI to identify the talent gap in your organizations and use it to be able to upskill your employees in your organizations.
03:02 It costs... It's six times more expensive to recruit externally than it is to absolutely upskill your workers.
03:10 And you are going to be able to retain that talent at the same time.
03:12 So start using AI to equally develop your talent and identify your talent, but equally look at it in terms of what you need from a skills gap perspective internally to help your employees upskill.
03:25 But where are you going with your organizations to remain with that competitive edge?
03:31 What do you need from a skills perspective and identify it even externally to be able to fill that gap so you're all successful?
03:38 Did I do that in two minutes?
03:40 Yeah, you did.
03:41 And it was great.
03:41 It was great.
03:43 Thank you for that.
03:45 I think the emphasis on upskilling is so, so important.
03:48 And thank you for reemphasizing that.
03:50 And finally, Stuart Martin from Lloyds Banking.
03:53 Stuart.
03:53 Hi.
03:54 I'm going to face this way.
03:55 Please do.
03:58 Certainly.
03:58 So two minutes to talk about some of the challenges, solutions, and lessons learned ain't going to happen.
04:06 So I'll focus really just on the challenges that I've seen and quite a few of them will be quite familiar from today.
04:12 So first thing to acknowledge that quite a number of people probably think this is a fad that's going to pass them by.
04:19 That's a challenge we have.
04:20 So a few years ago, we probably sat here talking about VR or the metaverse or something to solve the world's crisis.
04:26 So it's good to see it's going to stay.
04:28 And so the challenge we have is to make sure people don't sit on the sidelines and think it can pass them by and not participate.
04:35 So I think how we do that is going to be important.
04:39 So this is not seen as a bit of a fad.
04:41 That leads me to the second challenge I think we all have to really face into.
04:48 And that is that we need a very different approach to the total world of work.
04:52 So I have an HR background.
04:55 So AI is impacting and will continue to impact every single facet of the way we work.
05:01 What we do, how we do it, when we do it, where we do it, which device we use to do it and which environment we use to do it.
05:10 So if we haven't picked up on that yet, that's going to be a substantial challenge.
05:16 And I think as businesses and as senior leaders, our challenge is how do you grapple with that?
05:23 How do you make it something real?
05:25 And how do we choose to work in that sort of environment?
05:28 Very, very complex, but very exciting.
05:31 Third challenge, speed and complexity.
05:34 You know, things are happening so fast.
05:37 I think someone asked earlier about what's going to happen the next decade.
05:41 I think when you think about what's happening next week, so what's the speed?
05:45 Things are happening at such speed and complexity.
05:47 Everyone's trying to sell you the next unicorn.
05:49 This is faster. This is better.
05:51 This is more cost effective.
05:52 And so I think the risk we have is that our workforce will just tune out and not participate in all of this.
05:58 And then I've been given the nod to close up.
06:01 So the final one, I'll keep it quite short, is, you know, how do we, the risk we have is engaging our evolving workforce,
06:09 multi-generational where we are today and working longer if we need to.
06:13 So how do we, you know, increase the workforce and make work fundamentally more engaging and increase the digital literacy that we need to be
06:22 successful?
06:23 Great.
06:24 Stuart, thank you very much.
06:25 Thank you, all three of you, for sharing those.
06:28 Stuart, I love the fact you talked about how this is going to change every single facet of what you do, because I think that's one of the
06:35 things that large organizations are struggling with.
06:38 Everyone's doing experiments.
06:40 Everybody, everyone's doing trials.
06:42 But the question that this next panel that we're going to have is going to address is how do you get from the trial stage to implementing these
06:51 technologies at scale?
06:53 Thank you.
06:54 [BLANK_AUDIO]