Embracing the Power of Generative AI with Kieran Gilmurray

Introduction and Background 0:00 without further Ado for those that haven't been formally introduced why don't you give yourself a a warm 0:06 introduction um it's not often you get to introduce yourself warmly or otherwise so happy to look my name is 0:12 Kieran I live in Ireland I've been in the business technology space for about 30 years thus aging myself immediately 0:20 Mark but I've been there done that seen that there's very few Technologies I haven't come across over the years but 0:26 it's always fascinating to watch them appear and disappear I've passionate about education I'm an ex-teacher 0:32 believe it or not for many years ago not many people know that and then I've spent decades as a developer as a 0:38 consultant as a head of data science and process Excellence as a leader of intelligent automation I'm fascinated by 0:46 what technology can do for business can't imagine being in any other space 0:51 imagine doing something that didn't change every day my goodness we would be bored but I'm not excited for technology 0:58 sake I'm excited by what technology can do in the world and by goodness the technologies that we C have today can 1:05 allow businesses and society and governments and everyone else in between to do amazing things so I wake up every 1:12 single day with a smile in my face knowing that I'm going to see and learn do something different every single day 1:19 and Mark long may that continue Ken I appreciate you and I'm excited to to dig 1:25 into all of these things that you've learned over the years reading your a little sound bite from one of your Early Experiences with Technology 1:31 YouTube videos in 2000 you built a robot tell me a bit about that because that 1:36 was pre RPA what'd you build yeah it's funny now isn't it the multi-billion pound 1:44 industry that it's become having been packaged beautifully existed for years 1:49 before maybe not the same guys but if you want to call it screen scraping robots customer relationship management 1:55 with workflow built into their case management workflow all these things created decades ago go I suppose the One 2:01 Thing Mark people have hired me for over the years is my foresight and in 2000 people weren't even talking about robots 2:08 which is slightly odd for me back in the day but I created Solly the robot I was working for a legal firm in Ireland and Creating Solly the Robot 2:16 what you would see in the law firm was that there was a lot of things that are the same I know if you talk to a lawyer 2:21 they might talk about how they handcraft the law how their brain comes into so many things and genuinely does if you 2:27 ever get an opportunity h a great lawyer a great accountant a great tax burst knows things you need for your business 2:34 but the number of things that were the same were phenomenal when you broke the process down so when you're purchasing a 2:41 property or remortgaging a property someone needs to give you instructions once you've got instructions there's 2:47 obvious next steps once you've passed those next steps there's a contract stage once you've done the contract 2:53 stage there's a ass signing and whatever mortgage stage all the same so I created 2:59 a Rob robot that basically the soon as you started putting stuff into the case management system the robot started to 3:06 assist or augment even back in the day which is not what 24 years ago so the moment you did something the robot went 3:12 I know what you want next it went away did a whole load of the work for you that meant as a legal professional you 3:19 weren't dealing with the necessary but very mundane steps in the process the 3:24 robot of the digital workflow was taking care of all of this and if you look at some of the things we were doing back in 3:29 the day it was quite Innovative so the moment you signed up to the law firm we sent you a bill we sent an email telling 3:36 you where you were at with your case you could log in online you could interact with the robot you could interact bilingually or multilingually on the 3:43 website the robot would send emails updating you throughout the progress of the case what it would do is also 3:49 collect the information on all of the work that you were doing so when you as a lawyer paralal or legal professional 3:55 came in the next morning it had prepared your entire work load for the day and if 4:01 you were off and something didn't happen so that things didn't get stuck in the process it alerted your supervisor or 4:07 your manager but the really interesting bit on top of that which started part of my career was the analytics piece all of The Power of Data Analytics 4:14 a sudden not only could you see the automation freeing lawyers to spend more time with customers or to do more work 4:20 essentially for higher productivity you also seen a lot of date analytics coming out because the role book could start to 4:26 go through numbers of cases per day numbers of transac particular stages how 4:31 long lawyers or legal professionals were taking to do things and it wasn't to catch them out it was very much to give 4:36 them the analytics so the business could see the number of Staff the amount of workflow the times to take things done 4:43 who was better and who was worse at something so it could provide training to start to create a high performance 4:48 environment and that business Grew From I think when I started it was about 20 people it grew to over 200 and something 4:54 people which isn't very big internationally but from a law firm perspective in the jurisdiction that it 5:00 was in it was the biggest Law Firm by none within a very short period of time 5:05 which shows you adopting the right technology with the right professional allows you to do far more than just a 5:12 professional being there by themselves for sure and uh a lot of unique kind of The Role of Business Leaders in Tech Adoption 5:19 qualities to that that particular situation I feel like the business owner themselves has to be somewhat Forward 5:25 Thinking to agree to make these changes they absolutely do it's it's the the 5:31 horrible ugly truth Mark of why businesses don't transform is down to 5:36 the word people if you want to change you can change we put all the technology 5:42 in the world for decades yes maybe it's not as good as it is now but with of all the technology we have needed to 5:49 digitally transform for three or four different decades I was fortunate to 5:54 work for a business leader who absolutely adored the impact that technology could have 6:00 he also recognized he happened to be he that it wasn't just about the technology but if you give great people great 6:06 technology you can do even greater things but I do remember I I pretty much had a blank check because everything 6:13 that I was doing I made sure there was a business case put around it there was an outcome it was focused on delivering what the strategy was too many IT 6:21 projects I have seen are vanity projects in other words it's very interesting for the IT professional to do it but it does 6:27 nothing for the business so I had to build that element of trust in with the business leader to show that everything 6:32 we were doing worked and then there was a heck of a lot of other work done outside of it around the promotion 6:38 around the selling around the education around the training I call a massive change management plan to get people 6:44 into the mindset that we weren't replacing them with robots or actually were augmenting them to allow them to 6:50 achieve more and build more which ultimately resulted more money for the lawyer but to deliver happier better 6:56 quality service for all the clients which oddly enough resulted in less work for all the lawyers in the law firm 7:02 because clients weren't complaining I remember in the bottom of an email I was looking for X amount of pounds and I 7:08 also wrote and had like $1 million in a brown bag for a bit of fun as well to which I got absolute vukan of everything 7:14 apart from the BR bag in the million dollars but thanks for trying so I was trusted but maybe not up to a point 7:21 amazing it's was lovely to get a blank check that you can do amazing things with but you have to earn that oh I got 7:27 to put it out there blank checks love it tell me with the Year we're right in the beginning now what are you excited about The Excitement for the Future of Tech 7:36 uh as I said a little bit earlier on Mark I have watched technology over the years so I've been through the year 2000 7:42 three or four different recessions through Erp through RPA and intelligent 7:47 automation through Cloud you name it I've been there as I said I I worked as a data science head of data science for 7:54 13 years but the one thing that excites me continues to be data analytics which I talked started back in the day when I 8:01 started my it career in the '90s I've been fascinated by data and fascinated by what people can do with the datea in 8:07 terms of decision insight to allow them to make far better decisions now on top The Impact of Generative AI 8:13 of that boy am I excited about generative Ai and it's not from the everybody's talking about a point of 8:19 view and therefore jumping on the bandwagon point of view I had seen chat GPT and a couple of others because you 8:25 follow Google you follow the trends you follow their their research groups but before November last year and you were 8:30 starting to go oh my goodness that's just phenomenal you'll remember back in the day you were designing narrow AI so 8:36 in other words we were doing retention models and I could tell you for most people in Northern Ireland what they 8:42 they were if they were going to sign up to this insurance policy or not and how much I need to charge them it was very 8:48 narrow you one case study you put Engineers near you built databases and data warehouses you data scientists and 8:54 data Engineers wrangling everything now all of a sudden I can ask ask a large 9:00 language model a thousand different questions and over time if I train that I can get it to give a thousand 9:06 different answers I've played with this technology and used this technology for 12 months at a minimum I am 30 to 40% 9:14 more productive and I've not spent as many hours as as I want I have to work as well but it is truly exciting the 9:21 power of analytics plus llms plus automation so what am I excited about in 9:27 2024 it's business is actually turning what is currently potential into value I 9:34 think we'll see a mass of companies or we should see a mass of companies giving their employees the training the 9:41 awareness the business use cases the skill and the access to generative technology to allow them to do far more 9:49 and ethically as well but to do and Achieve far more in far less time far 9:55 more easily in than in the past everybody will have ai in their pocket for $20 or even less that's going to 10:01 transform how we actually do things it's going to enrich the decisions that we make it's going to improve the 10:06 businesses that we're actually operating uh today and I can't wait to see that 10:11 turn into fruition once people start to use technology in a massively transformative way I think we'll 10:18 actually start people going remember that automation thing that we talked about those robots that we've resisted 10:24 and everything else that we can do to automate the life out of our jobs maybe we should relook at that again so I'm 10:29 excited about the combination of generative ai ai decision insight and intelligent automation to allow us to 10:36 really create the exponential firms that we should have created over the last decade wow lots to lots to be excited 10:44 about there I I can sense the the genuine enthusiasm for for what you do let's talk about 10:50 the let's maybe start with chat GPT you've been using it for 12 months The Power of ChatGPT 10:55 what's been the story arc for you both from a usage perspective and how your 11:01 thoughts about the tool have changed yeah the the real story arc is the last time I used Google to search was maybe 11:08 November 2022 that's scary exciting fascinating if I'm Google I'm terrified 11:14 what's their business model built on the same with YouTube or whatever else so it's fascinating that I don't use search 11:20 engines anymore and haven't and why I haven't is because of the power of the tools so not only do I use chat GPT I 11:26 have a range of tools open at the same time again folks please go and pick the tool that's right from you but I've clawed 11:33 I've grammarly I have chat gbt I I've Image Creators being image Creator up 11:38 the amount of things that I can do and create in my day-to-day work is phenomenal so for example one of the 11:45 things I do for a lot of people is write H technology related content now before I begin instead of doing vast amounts of 11:52 research I go and put in the structure of what I want I put in the audience I put in a whole host of prompts and go 11:59 this is the kind of thing that I'm looking for now it's not replacing what I do that would be rather lazy and that 12:04 would be wonderful and rather easy if I could say write me a 3,000 word white paper on the latest Intel MX processor 12:11 it doesn't work like that unfortunately or maybe fortunately but by goodness does it give you a leg up in terms of 12:17 the things that you need so I'll go into chat gbt Bing Google board Claude each 12:22 of them give you a slightly different answer despite the fact that you maybe use the same prompt or adjust it but all 12:27 of a sudden a caterp bus me forward in terms of the ideas and the content and the the findings and the 12:35 combination of the findings that it's just not been possible to date I do a search engine it comes up with 10 Things 12:41 I then have to go into each and everything and make sense of them now I can get the engine to do that when I 12:46 start writing and I'm using this as one example only I get it to do a grammar check and do an audit of everything that 12:53 I've written back it comes with answers I can then get it to restructure it and rewrite it in a better way that's more 12:58 more receptive to my audience so I might say act as a Gartner blor analyst here's 13:04 the audience that you're actually going to I want you to pit it at this level would you rephrase that so it's got more impact out the back of that I'm doing 13:11 active and passive change the sentences around the grammar the structure at top of that I'll go this is now going to be 13:17 in a social media article can you write me a prompt that's intuitive interesting stops everybody scrolling can you now 13:24 create an image that goes with this article and so on and so on the number number of uses that I put it to every 13:30 day are phenomenal it's like having and it's a terrible phrase that people uh repeat it is like having an army A very 13:37 clever and increasingly clever interns beside me or executive assistants who 13:42 are really capable in so many different areas undertaking the work that I'm doing as I said it's not replaced me it 13:50 could maybe at some stage and I don't mind that by the way because it allows me to evolve in other areas but by 13:55 goodness has it allowed me to accelerate not only what I'm doing but the quality of what I'm doing and the ideas and the 14:03 and the the thinking behind what I'm actually at and ways that I just couldn't have possibly imagined now 14:08 before I do anything I'm almost reaching to generative AI in the first instance to get the thinking and the thoughts and 14:15 the structure and more ideas and counterarguments and counter intuative ideas as well because I can challenge it 14:21 to prompt what I'm actually doing so now that I've done that I I know it really and actually go out and train companies 14:26 how to do it every time I do it it's like presenting magic to people where they're going my goodness I'm doing an 14:33 interview for a particular role I didn't know what to ask the questions based on a particular methodology and I didn't 14:40 agree this with the other people in the room now I basically feed in the job advert ask it to produce all the 14:46 questions that I need an example a 10 following a particular interview methodology explain to me why you've 14:52 done and all of a sudden it goes and does it in two minutes you can have 20 Questions pick your top 10 work with the 14:58 person in front you and off you go those are just small examples of the wide variety of things as a friend of mine 15:04 said if you can think it and you can describe it CH gbt or generative AI can 15:09 probably create it so the only thing that's now limited is our 15:15 imagination so why why am I excited about all these Technologies things that it can do it it's just a bottomless The Future of AI in Business 15:22 wonderful pit of huge potential and huge opportunity to allow me to do the most 15:28 amazing things far better far more productively to higher quality than I've ever been able to do to date and the 15:34 exciting bit is all these models are getting better and better and thankfully I'm getting better and better at asking 15:39 questions as well it's exciting times I I share a similar enthusiasm it's so 15:45 cool what can be done and I feel like there's this idea of AI is really if you 15:52 look at it the right way the art of intelligence how you look at connecting 15:58 everything with a powerful input so I'm very interested in that connective 16:04 tissue putting together a string of tools that I love this idea of the 16:10 second brain and I've started to apply some of these ideas of using notion as a 16:17 repository for a whole bunch of data and recently started to play around with 16:22 notion Ai and being able to get really high quality output right inside for 16:28 ated usable databases so it's incredibly fascinating 16:36 and I'm curious from how do you now think about chat gbt what is your we've 16:43 got all these different tools what's your how do you think about it yeah look I suppose just to build on a phrase you 16:50 said a moment ago because it's exciting times I coined the phrase a little while ago we're not talking about a return on 16:56 investment despite the fact that we do need to invest in this technology and training and we probably have to 17:01 restructure how we go about things inside of organizations and everything else but we're really talking about a 17:07 return on intelligence that we can accelerate or multiply far greater than we currently have so now for example on 17:14 a normal day I can get X on with chat GPT or one of the other derivatives I can be 10x in certain instances more 17:22 productive and in certain instances I can be 20 and 40 and almost 100x more 17:28 Ive in general and the quality of my outputs can be greater so I go back to 17:33 the example where I'm writing a white paper I'm presenting an argument but to make sure that my argument solid I'll go 17:39 in and ask chat GPT or Bing or Bard or whatever Gemini give me the counterintuitive argument as to why this 17:45 may not be as good a quality statement as it might be so all of a sudden I'm getting challenged and checked and my 17:52 thinking is getting judged against what is currently really great quality l LS 17:59 now if you imagine that's going to improve as these things improve over time as well then the quality of the output should be greater so I'm excited 18:06 by the potential return on intelligence of the tools themselves and the more I invest in the tools and as you 18:12 mentioning I know of template prompts template documents that I feed in 18:17 template white papers to saying this is the quality and the standard and this is the style that I want you to get it to 18:24 because remember in the real world we've got a brilliant assistant we're giving them all the information here's prior 18:29 examples this is the outcome that I want you to put in place we can't just say to the computer do a white paper on X so 18:36 the more intelligence we put into the Tooling in general the manufacturers the more intelligence we put in as 18:42 individuals to train it in specific ways that we want in our style in our methods 18:48 the greater the return on intelligence we're going to get so 2 plus two is going to equal seven now once everybody 18:55 understands 2+ 2 is equal will equal seven then imagine You' have 100 people inside of your organization producing 19:03 100 time x now you have 100 times x times a multiplier and the opportunities 19:09 now to achieve even greater things are just going to be fast that's why I call it the generative or the exponential 19:16 organization but it's the combination I think Mark not of just one technology 19:22 because AI has been around for decades generative AI as I coined it in the talk I was doing recently is an 85 your old 19:28 success story but when you start to combine generative AI with normal Ai and 19:35 sometimes normal Ai and machine learning is absolutely fine and that's what you want when you combine it with other 19:40 exponential Technologies like blockchain like AR like VR like intelligent automation robotic process automation 19:48 the combination of the Technologies are going to give us arms and legs and 19:53 second and third and fourth brains that allow us to run far back F to far higher 19:59 quality than we can ever imagine the challenge is going to be trying to keep up with it all and therefore as we move 20:05 into this age of AI and as everybody who's now coming out of work suddenly becomes not a digital native but an AI 20:12 native and as soon as everybody is AI in their pocket in much the same way as the 20:18 mobile phone transformed everything that we're now doing when everybody is AI in their pocket my goodness are we going to 20:25 be able to do amazing things once they learn how to use it you and I are probably slightly ahead of the curve 20:31 because we're excited by technology we mix in this space and now with 12 months expertise you will have reached a ma a 20:39 marathon ahead of a lot of people but very quickly organizations are going to see the power of this technology they're 20:44 not going to be able to avoid it because if you think everybody is using AI they probably are and if you're not using it 20:51 you're probably one of the few not thinking about at the moment and that's a very dangerous situation to be in 20:56 because we're also not in an age of exponential technology or an age of AI 21:02 we're also in the digital Darwinism age or the AI in digital Darwinism age where 21:07 if businesses do not invest in these Technologies then and I don't wish this 21:12 in any of them I don't fancy their chances of being around the next five years time yeah I I tend to agree with The Importance of Continuous Learning 21:19 you that if businesses aren't incorporating Ai and have a path to 21:24 where is the learning stages for the teams for the leadership on the agenda 21:30 for the year right these need to be regular checkpoints I think the 21:35 continuous learning organization has to be something that for an organization to succeed I just I understand as a 21:42 solopreneur there's different opportunities because you're not tethered by what your job description is 21:48 and depending on the organization there's certain security rules and things that are in place for obvious 21:55 reasons how often do we start to use something in our personal lives and 22:00 realize it's amazing because somebody showed it to us and then bring that to work it needs to be a Forward Thinking 22:07 leadership regardless of the organization and there needs to be time 22:12 on the tool but you increase that you start to connect the dots and there's 22:18 even today there are regularly things that I just throw at chat chpt and 22:23 discover something new just to see what it can do I realize that it's it's quite 22:28 a handy PDF splitter and combiner and that's just a a very slight use case 22:35 that ah handy to know right but you don't really get these kinds of 22:42 experiences unless you spend a lot of time with the instrument right for you 22:48 to become a exceptional guitar player as a leader for your your band you got to 22:54 spend the time practicing and I agree with you that I haven't used Google in a long time and if you are still using 23:01 Google as a leader in organization I would really assess are you researching Getting Started with ChatGPT 23:07 enough what chat GPT specifically can do what is your recommendation for people 23:14 in business that are new to chat GPT and how to get your feet wet where to begin 23:20 well like you've said it a second ago do you know what I mean you just need to put the tool on your desktop and be 23:25 conscious that look everything comes with risks so the very first one with chat gbt and again this is open to other 23:32 tools as well folks we should say this is that if you do not hit a particular 23:37 box or option then any data you feed into chat gbt can become part of the overall training Corpus and as Samsung 23:45 discovered not that long ago and there were one of a number of companies that fed in their IP all of a sudden you may 23:51 run the risk of actually giving up a lot of very valuable content and in this day 23:57 and age when most things can be bought and copied I can launch a business in China tomorrow in the cloud whereas two 24:03 decades ago I would have needed someone in the local market I would have needed a factory I would have needed Machinery 24:09 or I I can now do anything I want the real differentiator becomes the skill of the people the will of the leadership 24:14 the technology and how you combine them together but most importantly the data that you've got your processes so we do 24:20 warn people just be careful putting things securely into place we do also 24:25 warn people around the ethics of this and when people talk but ethics can s really boring in the governance bed but it's not there literally has been too 24:32 many examples over the past where AI has been trained by a particular Cort to recognize everything that cohort does is 24:38 wonderful and great guess what it's not it's not very diverse it's not very even and statistically speaking diverse teams 24:45 produce better results all that said get the tool dip your toe in the water get 24:51 it to do simple things as you're mentioning split a PDF get it to come up with a counterargument to something 24:57 you're saying you're organizing a training event in your business ask it to come up with some suggestions you Harnessing AI in Business Operations 25:02 want some questions of a very publicly available interview form or or job 25:08 advertisement put it in and ask it for 10 questions saying you want to follow a particular interview methodology and 25:13 tell it what you want it to do think of all the roles in your organization and look at some of the tasks that they 25:19 perform and ask chat GPT or Bing or board or gemini or whatever else it is For answers or checks or challenges or 25:27 up dates or restructures or rewrites of emails but to your point get your feet wet you made a really great Point as 25:34 well Mark here that I think very often people miss this technology AI is too important to throw The Role of Executives in AI Implementation 25:41 to your it team in the corner and then come back in two years time as an executive and chair and a and board 25:50 there should be continued education around the art of Technology but AI in particular because it is truly amazing 25:57 they should learn they should evidence it this is too much of a change too much of an investment too much of a restructure in a business to hand it 26:04 anyway down from Beneath the Sea Suite the sea Suite should have been an owner on this and to your point they should 26:10 have been playing with it there's nothing worse than you and I have probably been in businesses where leaders sitting up there talking a whole 26:16 lot of bump about a technology that they've not used or not willing to use and then are trying to convince the 26:21 world beneath them that this is the greatest things in sliced bread in a very bad way and everybody listens and 26:27 goes you don't believe in this I'm all this technology is too transformative leaders have to understand it they have 26:33 to believe in it they have to provide some guidelines to get it done and they have to provide the training and the 26:39 models and everything else and the awareness and risks and everything else to let people experiment whilst their it 26:45 teams and the risk teams work out what it is that people can or cannot do but 26:50 even there I would caution one thing during Co and you mentioned Co a while The Impact of COVID on Technology Adoption 26:56 ago the world transformed everybody learned what they should have learned decades ago that you can work from 27:01 anywhere assuming there's trust because there's been laptops for decades there's been broadband and Lease lines for 27:07 decades antivirus you name it everything has existed Co created a platform that forced people to to react and to work 27:14 together and all of a sudden things that were blocked in the past that it teams said they couldn't do all of a sudden 27:21 magically disappeared overnight so if organizations want to roll this technology out apply the learning that 27:28 they learned during Co that if you want to make it happen you can make it happen there are risks but there's risks to 27:34 crossing the road but this technology is too important and too competitively advantageous to spend the next nine The Importance of AI in Competitive Advantage 27:41 months working out a policy or putting the top of your pile so what I would encourage people to do is learn it give 27:47 them the skills give them the direction and training put this as the number one project inside of a business and do what 27:53 you did during Co which is remove every barrier Focus really quick quickly get this working because if you haven't got 28:00 it working the next 6 months I just think you will not be 6 months behind but you'll be 18 months behind a lot of 28:05 your competitors yes to your point add it to the agenda and move it to Priority 28:11 number one and that's seeing what it can do that's part of me starting open AI 28:18 training is because I the writing is on the wall I spent time running a PR 28:26 business and I was the majority of my time was spent training my team on AI 28:31 because I knew that any amount of time put into that they were going to be 28:37 exponentially better independently at getting all the things that they need to get done and I just feel there's in 28:45 thinking about helping my friends I'm like guys girls you need to know some of 28:51 these things and I've got a a stream deck beside me and I've just been 28:58 starting to connect all these shortcuts and applications with click triggers so 29:05 I'm loading it up with gpts to give myself push button triggers to get to 29:11 access these tools So speaking about process a lot of it now is deciding what 29:18 what processes can be eliminated right and that's do we even need to be doing these things after you set up an The Power of Automation in Business Processes 29:25 automation you've had a lot of experience with process design how should organizations think about 29:31 approaching process and chat GPT or a generative AI really great question so 29:38 let me combine that with generative AI plus intelligent automation okay what a lot of people do is they do it wrong 29:45 hence why a lot of project have failed in the past where they go out to the business say what do you not like doing 29:51 and we'll automate that and what happens is people come up with all sorts of suggestions of stuff that's relatively 29:56 boring to do and very low value they spend a lot of money automating that and don't actually see a return in their 30:03 investment mine is not to start at the bottom in the weights mine is to be a little bit more fundamental and 30:09 transformative which is I'm going out to the market and I'm understanding what is my customers uh want what are they 30:15 willing to pay money for and pay a premium over cost to such an extent that it makes it worse while for me to have a 30:22 business fund a business hire people create a product or service that people are going to enjoy and pay me money for 30:28 not just next week next month but next year so I'm looking in the organization going what are the big decisions we need 30:34 to make to allow us to be the best organization possible what are the key 30:39 functions and processes that need to operate in the most efficient frictionless manner that Delights and 30:46 excites both our customers and employees to deliver this product at the highest 30:51 quality as appropriate and the lowest cost as appropriate to allow me to maximize the value of of my 30:57 organizational investment so now that I know what we're going what we're deciding to do and how we're going to do 31:03 it then I'm eliminating everything else that exists in the organization that I possibly can that does not contribute to 31:11 the big price now that said there are some things that you and I know need to happen like we have to do email every 31:16 day I can't eliminate email but if you ever go through an organization that's in financial distress and I've had to 31:22 restructure and number them all of a sudden you go looking for things that don't add value lots of projects 31:28 suddenly are suggested it projects that were really interesting but actually do the turn the dial on the big number and 31:34 the answer is no lots of marketing spend training spend or side projects or 31:40 invoices or recurring direct debits or the purchasing of something that's been going on but nobody's looked at it or 31:46 what is there's processes in place that someone put in two years ago but nobody's at a timed examine and I am 31:53 slashing those so I'm looking at the big decisions I'm looking at the big processes I'm taking away everything 31:59 else that doesn't turn the dial for those because that allows me to free funds free people and free time to work 32:06 on those big high value ad items then what I'm doing is I'm looking down those 32:11 processes and not automating and digitizing them and putting generative AI in to help me decide and to do just 32:19 for the sake of doing that as you and I know in business and let's take the example Mark of car insurance if I've 32:26 got a claim the last thing I want to do when I'm sitting on the side of the road is talk to a chat bot that says please 32:31 repeat the question I don't understand it there are certain moments when intelligent Automation and generative AI 32:37 make sense and there are certain K mods key moments of Truth where people make sense so as I'm redesigning and 32:45 restructuring the process to maximize the value remember I mentioned a moment ago about the customer and the employee 32:51 experience I'm making sure that when people can add their highest and best value and emotional support and judgment 32:58 and decision-making creativity and Innovation that is absolutely protect protected from automation but is 33:06 augmented by it when I say from you're not replacing a a good human answering a question to a distressed client by a 33:12 robot you're augmenting them with great technology so during that claims process for example I'm out of an app I asked 33:19 the person on the side of the road to point at the car take a video of all the surrounding and all of a sudden AI works 33:25 out where they are contacts the breakdown company and gets a vehicle coming out assesses the damage gets the 33:30 vehicle Ure notified as the potential loss starts the initial process so that 33:36 I can spend all this time being empathetic and answering all the customers questions as all of this magic 33:42 work is happening in the background so big thinking goes to big decisions big 33:48 process flows working out end to end process flows the key moments of Truth 33:53 where we need people and the key moments of Truth where we need them augmented and the things that we can digitize and automate and I'm working down from that 34:00 big picture Vision that way there I can get maximum value maximum employee and 34:07 customer experience whereas working from your bottom up automating or using generative AI on the bits and pieces 34:15 will result in a bits and pieces return and that's not what we're looking for and it's certainly not what that 34:21 technology can deliver today it's uh it's an excellent point the only way to 34:26 achieve any thing is to go after the goal right so as long as that's front and center and you reverse engineer how 34:32 to get there then things that don't need to be automated fall off because they're 34:38 not serving the the final outcome so excellent uh excellent example to I can 34:43 imagine how that that AI would work with filming the location and incredible The Future of AI and Generative Technologies 34:49 right so what have been some aha moments this year for you working with 34:55 technology that's wow that's that's really interesting it it always 35:00 surprises me Mark there isn't a time when if you get a really great technology that you can't do something 35:06 with it so let's work through a couple generative AI let me not repeat that that's just been as exciting as hell 35:12 suddenly seeing very narrow AI that has been able to allow companies to achieve amazing things over the last numbers of 35:19 decades suddenly turn into something that's now democratized that's now capable of working across so many 35:25 different Industries and verticals and tasks at next to no marginal cost that 35:32 is massively exciting I have to say some of the other stuff that I've seen is is what I would describ as older technology 35:38 but you remember technology goes through hype curves so all of a sudden everybody says R and VR is the greatest thing that 35:45 ever existed on this planet and all of a sudden you see a pile of cash going into it and all of the promises that were 35:51 made to sell it don't suddenly go through because it's thrown at things that it shouldn't be thrown at so all of 35:57 a sudden AR and VR at the start of 2023 were getting a kicking not really exciting anymore and I remember being at 36:04 the Web Conference in November in Lisbon in 2022 when everybody said it was brilliant then it was and then it died 36:11 now you're starting to see Technologies like that settled down so you can start to see for example R&V are used to train 36:17 people in fighter jets to control manufacturing equipment sitting underground in Australian mines that 36:24 suddenly cost a fortune to actually fix or to man or to drive or to woman or they drive so you start to see the 36:31 technology like AR and VR and mixed reality been employed in areas where it really can work some of the uses of AI I 36:38 think and I'm ignoring generative AI just for the moment are starting to really be Revisited in a fantastic way 36:44 so some of the Technologies I've seen over the last numbers of ises are you look at factories and one of the things 36:51 that uh stops factories working scares people is now there's more and more Machinery all of a sudden people are 36:56 getting injured now there's heavier packaging because people are buying more things and those things need delivered 37:02 more quickly people need to work harder and all of a sudden you muscular SK legal injuries and whatever else and 37:07 I've seen some simple yet amazing technology where there's Imaging cameras put into Factory or shop floors and 37:14 they're watching the worker lift things and what they're doing is providing feedback in real time on a computer screen to talk about actually you were 37:22 trained to do it like this so you didn't get injured now you've got into bad and sloppy habits here's how you can reassess and people 37:29 are using the technology to stop the person hurting themselves intervening really early and just teaching them how 37:34 to lift correctly so they don't end up injured now for the long term I've seen 37:40 forklift trucks being stopped and alarms going off as people inside of factories 37:45 are walking across or about to get hurt by a truck when again you're thinking my goodness there's nothing more precious 37:51 than a life I'm starting to see vision technology and AR and VR starting to 37:57 work on production lines so that the quality of the content that's coming out of the product all of a sudden if there 38:03 is a problem rather than allowing to continue and waste money and time and dollars the production line is starting 38:08 to be stopped so now you're starting to see Ai and mixed reality and artificial reality and virtual reality been used in 38:14 really clean ways intelligent automation for me has always worked but you're starting to see that ramp up a little 38:21 bit more and there's some wonderful vendors who are now starting to integrate llms into robotic process 38:26 automation intelligent Automation and what they're doing is traditionally you would have had to do business process 38:31 analysis now you're starting to record what people are actually doing on their screens and the technology is working 38:37 out the best way to do it and using numbers and methods to all of a sudden to diagram and to flow it and to put 38:43 metrics around it and suggest best ways and if something changes in the process it's automatically rebuilding the code 38:50 that's exciting I've also seen Technologies coming out from Amazon code Whisperer for example there's other 38:56 derivatives GitHub do the same thing but all of a sudden it's a coder and I warned coders in Belfast about this a 39:02 year or two ago folks you're going to get replaced by Ai and generative AI Technologies but if you think about it 39:08 there's lots of old code in the world there's lots of things that we don't get time to do if you do and I use code 39:15 whisper as the example it can write code in 13 different languages so if I want something written in C or python or 39:21 whatever else I can ask it to do it people have started to get really clever and now you're able to draw in a forward 39:26 with a business user what is it that they want you hold the iPad or the laptop up in front of the screen it 39:33 looks at the flow diagram and automatically builds the code the exciting bit is not just the code building because that's automatically 39:39 done for you but it's building it in an ethical way it's building it with security buildin by default it's 39:45 automatically annotating the code the things that nobody wants to do it's automat automatically building a manual 39:52 as well so the next developer who comes along has actually got a guide so she can and see now I know what's happened 39:58 and word's gone wrong and what I need to change something that the game developers don't like to do and testers 40:03 will miss things because they're obviously human but now you're starting to see the potential of the Technologies to allow business people to do and 40:10 Achieve even more you know on top of that of course you're seeing the growth of the internet now that has become 40:16 aaple nobody questions it and you remember back in the day in the year 2000 when everything crashed now the 40:21 internet has settled down and we're now able to do just the most wonderful amazing transaction 40:27 that were impossible 10 years ago all with predictive science but in behind it to allows recommendations and everything 40:32 else so some of the stuff that I'm saying that I'm excited about the traditional stuff that's just immense 40:38 now that people understand that some of the technologies that got a kicking that all of a sudden now they've settled down 40:43 beyond the hype curve and now people are using them for real and gorgeous and beautiful things AR VR Mr and everything 40:50 else some of the technologies that have reinvented themselves to be more efficient intelligent automation a 40:56 automated coding Automated Business process mapping and diagramming doing everything else now we're starting to 41:01 see generative AI come on top of that and this is the exciting thing about Society is technology drives so much 41:07 change and I love to see now that we're having the debates around ethics and risk and governance but that's coming to 41:12 the four so you're seeing this layer of existing technology settling down and expanding and function and use a new set 41:19 of Technologies being repurposed on top and even newer technology coming on top again to allow us to achieve even more 41:26 it will be as I say Mark that's exciting from last year this year what will be truly exciting is when people start to 41:33 combine all of those Technologies together to allow them to create an exponential productive creative business 41:39 like they've never been able to do before and my basic philosophy is that technology won't replace roles all boats 41:46 rise in a floating tide so the more people we can exposed to all of these Technologies and the more technology we 41:53 can put into play in a really productive creative way way the more businesses and the more people can benefit from all of 42:00 this great technology H and I can't wait to see that that's a lot to unpack there 42:06 but the general theme I absolutely love of excitement enthusiasm and it's it's 42:12 going to be a wonderful year I can't wait to to see all the different announcements happen as we as the year 42:18 unfolds very curious to learn a little bit more about you've got some speaking 42:23 opportunities that you're going to be places this year what's on the event calendar for you yeah the big thing is I 42:29 laugh in the last three weeks is three trips three talks three three trips three talks three trips to London okay I 42:35 did one of my first talks in Ireland in years because I tend not to at the moment for some reason most of my talks 42:40 are international or online a lot of them been around key themes intelligent automation is ever I'm an expert in that 42:47 Ai and generative AI because people are truly excited by that and I've done talks for marketing talks for HR General 42:54 business talks as to the state of the market market and where things are going and how companies could get uh 42:59 positioned I've done a lot work on decision Insight which is again a gardner trend from 2002 but it was been 43:04 around a decade before that which is using AI Plus data analytics to allow organizations to make better decisions 43:12 all that I'm doing at the same time sometimes overlapping sometimes separate items in addition I'm also doing talks 43:19 around how do we actually get all these things to work what are the key success factors that allow any technology in the 43:25 key change management aspects that need to go in place to let people actually succeed because the technolog is there 43:32 and sometimes the actual methodology or the selling of the technology isn't as well so that's coming through those are 43:40 my main things at the moment I've talked to do in maius couple in London one 43:45 hopefully in Dubai one hopefully in qual limpa and those are the ones that I know about at the moment but always open to 43:51 doing a talk CU I have tremendous fun doing that and one in London I forgot I'm back there and a couple of times in 43:57 the next year as well talking about generative Ai and conversational AI as well and one in actually I have one in The Role of AI in Human Resource Management 44:02 Belfast one online one around technology and human resource management and how to 44:08 make HR a lot more efficient but how to actually put technology and all of the beautiful things that it can do into 44:14 career paths and career maps to help professionals inside of businesses realize what technology can do by 44:21 employing it in their everyday jobs so lots of interesting talks that hopefully to good will allow people to be Come 44:27 Away inspired come away a lot more knowledgeable and hopefully come away a lot more enthused to do something about 44:34 taking hold of all of these Technologies and actually experimenting and doing something with it to make them and their 44:40 lives that little bit easier and to make their firms that little bit more productive as well amazing I I can't 44:45 wait to see a a live performance where can I find more information yeah big 44:51 thing is look go to my website kenil murray.com go to my YouTube I want to 44:56 grow that K King G Murray searching me there I'm on Twitter King G Murray same thing I'm also on bus Sprite or or 45:04 Spotify Apple any of my podcasts are there and I spend it far too much time on LinkedIn writing thought leadership 45:11 articles and engaging in the most amazing conversations with the best people across the world so again go to 45:16 Twitter my website YouTube Spotify Apple Twitter if you name it I'm probably 45:22 there communicating in some shape form or other being part of a community and sharing whatever knowledge I have 45:27 perfect well we'll make sure that all the links are available in the show notes before we wrap up I love to learn 45:34 about what people are reading do you have any favorite books or books that you're leaning into right now yeah I 45:42 have a very dangerous habit of spending far too much money on far too many books every month and I'm in I think I must be 45:49 Amazon's favorite customer in the entire world what I am reading at the moment because I'm very conscious of this is 45:54 the coming wave it was a Sunday Times bestseller and this talks about the ethical dilemas and the joy of what is 46:02 going to be a new AI age that one's absolutely fantastic I tend to read two 46:07 or three books at the same time so when I'm in the gym it's my mobile phone and then playing with Kindle and then when 46:13 I'm at home it's actually on my Kindle as well and I'm reading another book and I can't remember the title of it Mark 46:18 it's 10x it's very much not the 10x as we know the chap who wrote the book about selling things 10 times over this 46:24 is human 10x is easier than 2x 10x is easier than 2x which talks about human 46:31 potential and about us removing all of the things that don't excite us or don't get us 10 times where we want to be 46:37 today that I'm on chapter six or seven and it's probably the slowest I've gone through a book but I'm writing so many 46:44 things down and so many actions to take away it's it's phenomenal so my two things are the 46:50 10x versus 2X and anything ai ai ethics and then far too many white papers on AI 46:57 and business process change to be imagin that's what sits on the iPad that I've 47:03 got beside me at some stage of the day as well nice every day is a school day 47:09 yeah it's if you love to learn the topic of AI couldn't be more juicy of an 47:16 appetite right there's just constantly new stuff coming out and so much to 47:21 learn I really appreciate you making some time to share with you've learned 47:26 one thing I wanted to add was with custom gpts I've started to experiment 47:32 with for books that I own pre-loading a PDF and then like digging into the author's brain on any topic and I found 47:40 this along with YouTube transcripts to be a really great way to microle learn 47:49 and have quizzing being brought back to me on how well I know the content on 47:55 chapter 2 two or five or so I'm curious 48:01 if you can talk a little bit of bit about your chat G gpt's experience and 48:06 for those listening their custom little how would you describe the applications 48:13 yeah it's someone said they're and they are the same as the App Store so what you're not able to do instead of a very 48:19 broad large language model like open AI 3.5 or four which can basically answer a 48:25 question than absolutely everything what you're starting to see is more bespoke gpts or again more bespoke llms so in 48:33 the next numbers of years and the next numbers of decades open AI themselves are launching their app store or 48:39 whatever we want to call a GPT store but I think you'll also see businesses and governments and industries narrowing 48:47 down to create gpts that have got the language or the content or more specific 48:53 content around particular areas so for example you'll see legal llms you'll 48:58 start to see medical llms that will be infinitely trained in the language and 49:04 the Lexicon and the methods and the models of everything that specific industry related so the large language 49:10 models will still persist you will see narrow L llms that are more specific and 49:16 you'll see us playing with gpts to allow us to do a thousand one different things that'll be slightly more specialist 49:22 again but boy this is the interesting thing Mark it's like drinking from the fire hydrant all of the knowledge that's 49:29 coming out and all of the changes in Technologies coming out that can be scary for people to know whether to 49:35 begin with open AI an industry specific large language model or a GPT m is just 49:41 download chat gbt or play with Bing or board or Gemini on your phone get started somewhere and work your way 49:48 through all of these different things till you find something that in your instance is massively uh productive 49:54 having that short cut guide but lacking none of the the the knowledge on your 49:59 desktop to allow you to consume genius content for a quicker and far better a brilliant use of chat gbt I'm not going The Power of Sharing Knowledge in the AI Community 50:07 to copy that it's information is for sharing right so that's the one thing 50:13 that the best way to learn is to share and teach so you have to go over the 50:20 information at least twice you learned it and then you also shared it so now that's two 50:26 points in time that maybe you'll hang on to some of this right because it's flowing quickly but I we should share 50:32 more I see too many people hiding and cting knowledge believing that's what makes the world go wrong but you and I 50:38 are the same all boats will rise want a floating tide and the more people we can 50:44 share with the bigger the fie simple as that I look as examples at at successful 50:49 YouTubers I'm constantly looking at them as like the very generous and giving I 50:55 come across videos of certain automations and things or things that have come out nine months ago and I'm 51:01 watching it for the first time but it's like an amazing little tool or something 51:07 that makes me more productive and the generosity there is just it's always 51:12 great to see when people learn something they they share it right y you give you 51:18 get that should be the Mantra of the world if you don't give you should not get a darn thing in life yeah this has 51:24 been a a lot of fun Karen I can't wait to do this again and learn what's 51:30 changed because certainly a lot will so have a wonderful year and can't wait to 51:36 follow your tour schedule and see when you're going to be in a in a city near me fantastic thank you so much and 51:43 thanks the audience for listening as well what fun what fun that this is going to be the most fantastic here 51:49 today absolutely English (auto-generated) AllFrom OpenAi TrainingRelated