Chris Ashley and Ronald van Loon talking at UiPath Forward
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Chris Ashley

VP Global Strategy, Business Development & Partnerships

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WATCH | Agentic AI: Powering the future of transformation

By Chris Ashley on January 30, 2025

Agentic AI is on the rise, but what does it mean for businesses in the retail, CPG and manufacturing space?

Recorded live at UiPath Forward 2024 in Las Vegas, Peak’s Chris Ashley (VP Global Strategy, Business Development & Partnerships) caught up with leading AI influencer and CEO of Intelligent World, Ronald van Loon. Together they explore the rapidly-changing AI landscape and how a combination of agentic and predictive AI is helping companies to drive huge commercial outcomes and improve overall business performance.

Watch now

welcome welcome to our booth tour here to  transform with AI but especially about a

Agentic AI for agentic AI the key question of  course is what kind of skills do you need we’re

going to discuss even how children start working  with AI up to let’s say the experts if you’re an

expert and you want to educate yourself about Ai  and want to start using it but also if you have

only industry knowledge or you have no knowledge  at all how to get equipped to be successful with

agentic AI but much more we have some great  great cases where we have insights in the cpg

market in the retail market and Manufacturing  Market where we’re going to Deep dive and see

what is the current status of agentic AI where  are we and what’s the path to success but also   with companies like Canon where we dive deep  into their whole journey from how they went

from nothing and some failure up to successful  implementations of AI and now moving to agentic AI

and last but not least we’re going to talk about  the company there is a lot of buz around positive

buz inflection AI they do something different  something different than all the other llm

companies and there’s a reason for this where I  believe many companies are waiting for this many

enterpris are waiting for this and I’m going to  talk to Ted Shelton he’s a CO and he’s going to

unve his strategy and why it is so important so  sorry about this join me and I’m going to rveal

these great stories here at uipath forward number  seven already in Vegas great stories so let’s go

this again is a process that takes hours document  processing is one of the key type of activities in

many organizations don’t end I have to found  two people one from Canon and one from Green

Light Consulting and they had great case great  case where they use document understanding and

document processing hi Thomas are you on hi  nice how are you good agentic AI we have seen

Danielle doing his speech one part is the document  understanding is part of agentic AI you’re working

at Canon yes and you work together on a project  with document understanding maybe you can explain

how you started and how you moving step by step  to agentic AI sure maybe you can kick off and

explain how did you get because I can imagine it’s  not such an easy project right so how did you get

started so I think the best way to start is I  heard somebody say yesterday AP invoices aren’t   easy so we learned that right so and Canon has  a lot of invoices a lot um so that’s a positive

thing yeah yes yes well you know the one the money  goes out the door not so much but um you know so

we had a lot of invoices so one of our areas that  we started with 4,000 invoices a month so um we

had uh a lot of people working on this just all  entering invoices all day and we knew that we had

to to get better at this more efficient more  optim optimal process um so we reached out to

uipath and I asked you know do you have something  that can help us with this influx of invoices so

introduced us to Greenlight uh and they came in  and introduced us to document understanding and

so you know we started the process I think  uh took us about four or 5 months the first

test to get it up and running um and it’s been  processing the invoices seamlessly I think we

have 90 over 90% stre through to our EBS system so  that’s awesome so you know our staff isn’t sitting

there keying invoices all day uh and our team has  become less of a payment Factory and more on the

vendor relation side right so this wasn’t about a  headcount reduction this was about how can we use

our staff more appropriately right so a lot more  vendor relations now uh they’re working together

with the vendors so but when you started you  mentioned to me you had to struggle and then

you called youran yeah so our first pass at this  was uh we failed right so you know it didn’t work

uh after about a year we shut it down it just  it just wasn’t going to work um we were seeing   maybe 35% straight through which is not it’s  we’re better off keying them by hand at that

point right you see that quite often so you jump  tons of times right and so what happens is I think

the technology is something that customers don’t  know how to get going with at first and our team

has like a a blueprint for how to get this done  uh we came in and did the first few automations

3 4 months something like that um and really  showed like real success right and then we’ve

helped Canon kind of grow their team and be self-  sustaining now right so that they can take the

next steps toward work agentic automation MH and  invoice is quite a structured type of document if

so actually we started with the harder invoices  right so they were very unstructured documents so   um so we started with the hard stuff first right  and then you know we just recently went so we were

so happy with the results of that we actually  uh transferred all our AP invoices to document

understanding with green lights assistance um  I can tell you their expertise in this area we   would have never got it would never got it done  without green light coming in and helping us you

know guide us down that that path so and we were  talking about gentic AI so what kind of steps do

you see happening the coming 6 to 12 months you  spoke even with with Daniel and probably you as

well um I I like to have both your views so you  want to kick off sure so I mean first things first

we got to get to the Cloud right to really take  advantage of these things so we’re we’re working   with Canon right now to get them migrated to  the cloud right uh and I think we’re going to

start to build that road map for what those use  cases look like right once we’re there right uh

so we’re going to work with Tom and his team to  build that funnel out and can you say something   about this use case or you can jump in yeah so  um we had we were very fortunate to have Daniel

visit Canon uh and he met with our CFO and our  CTO about you know how how can we use these tools

autopilot um all the uh agent agenic uh RPA so  we uh actually are systems that Canon are very

Antiquated they’re old right and Canon does not  want to continue to invest in these systems right

so I think they foresee using for example like an  autopilot on top of these older systems and have

autopilot kind of do the heavy lifting that these  systems can’t do anymore for us um so in one area

especially is our copier billing so copier billing  is very uh tedious and not easy a lot of steps a

lot of different contracts so we think autopilot  can definitely assist that right so and ease the

burden off our our staff a little bit and where’s  then the agentic part jumping in because currently

you’re more using API and document understanding  so where’s which part of the agentic is the next

step that you’re going to use I think as Johan  said we’re kind of Road mapping that right now

how we’re going to use this but I definitely  think we have a couple of good use cases um I   can tell you in my area which is finance um you  know just giving our users easier access to the

numbers so one of the struggles we have today is  when Senior Management asks for something it’s

kind of a scramble to get the number right so um  we would love to have a tool like agent agentic

a AI over it to uh you know ask the question what  what were our sales in copier last you know this

copier Division and have that returned right back  to our CFO or our president right to not have this

scramble to get numbers all the time and I I think  the thing that’s important to realize is that   the automation part is still part of the agentic  automation right so uh we’re still figuring out

what the bones and muscle of the automation has to  be to so the agents can leverage that and return

return data and results faster and one part of  the agentic AI is either have more autonomous

type of um processes do you see that happening as  well or you have this already implemented where

some parts of the process are autonomous or do you  still monitor it so uh I and we my team is mostly

we we keep all that in in the in our division so  we run we create the Bots we you know we we time

them a lot of them are unattended so they run it  various times so we manage that all we have not   really um become a little we’re very centralized  when it comes to RPA right so we haven’t gone

with that decentralized model yet and one of the  other part is people are scared yes and they say

oh everything is re replaced we don’t have a job  anymore but you I think you are the example where

the opposite is happening the the thing I think  that people don’t realize is how much more you can   do I I don’t know uh Tom you’ve mentioned before  about you would think AP invoicing and automation

is not going to be a way to generate money but  because you can have better conversations with   your C with with your uh vendors right you can  actually find a way to um invoice faster and

generate and generate money better right and and  it doesn’t feel straightforward right so it’s not

about replacing job it’s it’s about doing the work  better right faster right better service levels so

a Canon traditionally we never were able to take  advantage of cash discounts that our vendors off   at us yeah just because everything took so long to  process the invoices right so today we’re actually

starting to take cash discounts in a lot of them  right and it really that really goes right to our   bottom line right and the CFO loves that right so  um so that’s one thing I can say has been huge for

us and it was a benefit you didn’t I don’t know  if you saw coming we did not plan for that yeah   it was not planned at all right so it was one  nice benefit that came out of this and this

is basically a whole process you went through if  there are many companies that need to start with

just maybe RPA or more with AI how should they get  started I truthfully I finance you know this is

just a finance guy here uh and as he’ll tell you  but uh I think Finance is a great place to to go

always because it’s it’s heavily rule-based right  um and repeatable and data accuracy is Paramount

right so it’s a great it’s a you can find a lot of  great candidates in the finance area for sure yeah

so we live in a world of socks and GAP there’s  rules right you said we have a lot of rules in   accounting right so this does things that we don’t  have to worry about that things are accurate we

like accuracy a lot so um and we like things  done quickly but and accurate so that’s what

we’ve been able to to do perfect great insights  in your story thanks nice to meet you Thomas

great and uh I’m going to to the next booth and uh  thanks for for the great story thank you thank you

thanks I love this type of insights how they  went step by step basically failing first and

based upon the failure understand that they  needed help um asked an expert team from from

Green Light Consulting and helped them with the  step-by-step process to get started in the the

domain of Finance with this document process and  document understanding and build a great use case

which is probably relevant for you as well so  let’s go to the next booth and see how they can

help you in understanding how to start with the  gentic AI and step byep move into that direction

so let’s see if we can find some more people who  have a different perspective on agentic AI um I

know Chris um Chris is really a thought leader in  the domain for retail for CP G for manufacturing

and especially with regards to pricing and um  inventory optimization Chris hi pleasure to

meet you some great speech from Daniel about the  gentic AI but you are in a specific domain and

one it’s for Price optimization for inventory  optimization especially in retail in in cpg   manufacturing working for larger Enterprises so I  would like to have an understanding in where are

we now today with the gentic AI Daniel explained  five steps two of them were already there now

but how is the cpg market how is the retail Market  how are you working with price optimization today

in this road map to ortic yeah sure I I think  uh it’s an exciting time in the technology space

we’ve gone from several years ago deterministic  analytics business Insight through to predictive

and probabilistic capabilities with machine  learning through to the huge hype created with   chat GPT hitting the market a couple of years ago  generative L lamps and now a which can hopefully

pull all of those pre-existing Technologies  together to unleash a new era of business

performance and uplift so I think where we’re  at today we have machine learning optimization

that’s being leveraged by the likes of Nike hyberg  materials in retail manufacturing uh to drive huge

margin uplifts productivity uplifts uh conversion  rate uplifts using sophisticated machine learning

tools and the future I think will be to use  multi-agent systems that can add additional layers

of sophistication to how we think about pricing so  today we can simulate millions of different price

points and the conversion rate probability for  complex basket of goods in manufacturing settings

in the future in the near future hopefully  leveraging some of what Daniel Showcase with   agent Builder I think we’ll be able to start to  Overlay into those workflows a buying agent and

a selling agent interacting and simulating the  negoti iation that would be had by the human

seller and the human buyer in the near future uh  and that will add an extra layer of sophistication

and capability to those pricing engines that can  then enable slightly higher margin uplift slightly

higher productivity upli so I think it’s really  exciting and you’re working mainly then with   structured information so is there any space where  you use llms which are part for the the gentic AI

domain do you use llms at all or not required  and in and how do you use them yeah uh so we

use them we use them in a couple of specific ways  currently MH uh we leverage retrieval augmented

generation as part of a product we have on our  AI platform called Cod driver uh and Co driver

can do a number of different things so let’s  use the sales example again and the pricing   optimization example if a seller has had a price  range given to them by an AI tool often they will

be slightly cynical and perhaps dubious around the  price range that’s being given to them to then go

and negotiate with the customer what llms can do  is provide a level of explainability around how

the prediction was arrived at uh by indexing all  of the predictive outputs that have been created

and then in natural language playing back to the  the seller how we’ve actually arrived at that   prediction which if we go back a couple of years  it would have been a seller looking at a dashboard

and a graph and trying to unpick mathematically  how we’ve arrived at at a price and you end up   in a slightly Black Box situation so I see llms in  that case Illuminating the black box of predictive

engines which is amazing MH uh I think uh other  use cases uh starting to use llms as part of the

commun communication with the End customer as  well so starting to curate specific types of   communication when you have a price that you want  to return to a customer what’s the most effective

way to then convey that information to elevate  the probability of converting that business so   it’s mainly supportive content to facilitate the  communication and facilitate that part and on

the other hand for example you have an autonomous  part in agentic where are we now and what are the

steps to go more autonomous and which parts are  autonomous because Daniel mentioned as well there   there’s one billion use cases and every use case  can be divided in very small steps so autonomous

can be one small step autonomous versus ENT  autonomous and there’s of course a big difference

yeah I I’m personally excited about autonomous  multi-agent systems within Supply chains or within

uh commercial functions uh I think the likes of  agent Builder and getting that tool into the hands

of RPA devs and data scientists and you know  data engineers and starting to experiment with

how can we build these sophisticated autonomous  systems um and to Daniel’s Point taking bite-sized

specialist parts of functions and experimenting  and then scaling that out into more sophisticated

systems uh with multiple agents that are highly  specialized interacting with each other I think

over the next year it’s going to be hugely  exciting I can’t give a perfect prediction on   when we’re going to see fully autonomous you know  Supply Channing uh Supply planning multi-agent

systems or uh pricing agentic systems but I think  we’re we’re not too far away and the innovations

that have being released by the likes of uipath  incorporating with the likes of what Peak does on   the machine learning optimization side I think I  think we can get there within the next 12 months

or so and one of the key aspects is also real  time data especially with pricing pricing can

change all the time sure so is this already  applied where you inject realtime data use it

in your calculations probably so I expect that  that aspect is already covered can you explain   a little bit more and give some so there’s a  few different dimensions uh with realtime data

there’s uh features that you can incorporate  around competitor pricing which is obviously

changing continuously and a a great input into  a pricing model uh there’s things like in the

manufacturing industry so haberg materials one of  our customers the proximity of the manufacturing

facility to where the customer requires their  building materials to be delivered is another

Dynamic situation uh where other uh kind of  production plants and Manufacturing facilities

have specific output that they’re creating and  in real time that mix of products that is being

produced and then sold by other salespeople will  be adjusting continuously that’s a key feature

into a pricing model because obviously based on  the quantity of material you have available to

sell will impact on on the price that you’re  ultimately going to sell it for so th those   different realtime Dimensions uh are critical  to really sophisticated pricing engines uh and

pricing Solutions and again I think UI path with  you know being the global leader in RPA and their

ability to capture data and feed it into other  platforms and other systems very quickly is is a

great kind of solution for that and will be mainly  business driven so if there’s the use case you put

that part in as a new type of case new type of  automation one one last point is many people are

a little bit scared of taking their job sure how  do you see this uh because there’s so many steps

in let’s say either a pricing optimization or  an inventory optimization is it taking jobs or

is it supporting the people that are working in  this domain yeah uh it’s an interesting question

and I think I sit on the side of optimism I have  a a great belief in the inate creativity of human

beings who you know who knew we were going to have  prompt engineering jobs a few years ago who knew   we’d have social media management jobs 10 years  ago you know so we have an incredible capacity to

create new interesting creative strategic roles  for ourselves so I sit on the side of optimism I

think agents will inevitably replace some aspects  of certain tasks and roles but I’m a big believer

that people will then be able to focus on the more  creative corre strategic elements of roles and

we’ve seen that even when we’re deploying machine  learning optimization Solutions into supply chain

functions the liberation of key people within  those functions to then focus on things that are

you know innately creative and and strategic and  human shaped uh that require critical thought and

I I’m a Believer we’ll be able to do more of that  work and less of the mundane uh administrative

work that agents hopefully will be able to solve  for us I I’m on the same path and but I I see it

happening indeed where there’s so many different  steps that can be improved augmented Get Better   Business results while keeping the job but the  job will change and people need to change that’s

for sure because some parts will be taken over  and support I think we all owe it to ourselves

as technologists uip path Peak sap everyone you do  it already every day basically educ educating and

helping people understand AI is still an umbrella  term that is thrown about quite Loosely at times

what is machine learning versus generative versus  agentic helping people understand that will be

the first uh step of the path to helping people  understand where where is their where is their

role and how can they best perform in a world in  which you know increasingly algorithmic automation

is throughout our businesses so yeah I think I  think we we can all do our part in helping educate

and upskilling everyone around us Chris thanks a  lot yeah real pleasure great Insight I’m going to

continue my booth tour but uh it’s I really love  the story and uh how you define the path from

where you are now to fully agent right thank you  really great to meet you bye bye bye so this was

Chris he has great perspective for cpg for retail  for manufacturing especially in price optimization

but also in the domain of inventory optimization  mainly using structured information U but also

start using unstructured information especially  for helping and facilitating the communication now

let me go to the next booth and um see if we can  have some more interesting stories to to discuss

with you and to show you so many people probably  have heard from this company and this person that

Shelton he is from infection AI it’s one of the  companies that create most bus in the last month

and we’re going to have a conversation about the  G Ki but especially about trust Ted how are you   good R nice to see you yeah thanks for inviting me  over here um we’ve seen Danny on stage you’ve been

on stage there’s a lot of rumors around rumors and  let’s say noise around your your company um but we

want to know why and one of the key words I think  is trust organizations look for trust if they talk

about agentic AI Daniel was explaining all the  steps but how can you trust your AI and you have

some yeah I think amazing type of view amazing  type of approach with inflection Ai and that’s   why there’s so much bust around your organization  can you explain how you manage trust absolutely

Ronald um I think we’re taking a contrarian view  to the industry and a lot of people look at us   and they say wait you guys are crazy um everybody  else in the market all the other model Builders

whether it’s anthropic or gemini or open AI what  they say is we’re going to run the model for you   it’s a black box but you can trust us bring  your data to us in the cloud keep your data

in our Cloud uh and we’ll give you a contractual  agreement to make sure that we protect your data

and I think those are great contracts but there  are some companies that say hey wait a minute um   bad stuff happens uh we don’t want bad stuff to  happen to us we actually really need to run the

a ourselves so we’ve switched that trust equation  around and we said you know what instead we’ll   trust you with our model keep your data uh and we  will give you our model and we’ll help you run it

yourself and so that way it’s not a black box any  longer and a company can own and control that AI   entirely themselves so that private computer is  what’s so important and talking about this black

book everybody want to have inside transparency  on on the model but also if you look to the models

um all the companies that you were mentioning they  have more generic models but you want to customize

it and personalize it for your organization  now one technology that they use is R where   they insert their personal data or the company  data into the promt but you say this you should

do it differently you should have your let’s say  organiz AAL identity and everything what you want

to remember in the model absolutely well so it’s  not that rag is bad rag is good for certain kinds   of data um but what we believe is that once you  own your own model that you’re able to make it you

can make it your own you know if you’re Intel and  you have your own Intel AI uh then Intel should be

able to say hey we’re going to make this AI know  who Intel is what our history is who our CEOs were

uh all of our facilities all of our products right  and also the culture the acronyms the way which

people interact with each other and and it’s not  just training uh a model it’s not just fine-tuning   a model but it’s also reinforcement learning so as  my employees are using that model the model should

continue to improve and become a better and better  coworker within that environment and that we you   know one of the things we fundamentally believe is  that AI is going to transform the way Enterprises

work uh it is going to be a Central Intelligence  that every employee uses uh and employees want

to have an intelligence that they’re working with  that they can feel like it’s a real coworker like   it’s a part of their organization and understand  the culture understand their personality you

understand basically everything what you want  to have in the model absolutely but still with   transparency and then of course um all the  large language models they’re great because

they generate content often to provide additional  insights but we’re here at UI path forward um you

were on stage and one of the key points for us is  make your data actionable that’s right because if

you can transform the insights interactions then  you really get business value that’s exactly right

Ronald I mean I think the um when we started to  talk talking to Enterprises about what they really   needed from AI U what we heard really clearly was  we needed to be able to actually interact with our

Enterprise information systems and we needed to  interact in a very deterministic way and we don’t

want it to be hallucinating when it’s interacting  with our corporate systems right um and so we came

to uipath because uipath actually has that trusted  Enterprise secure uh deterministic uh Automation

and workflow management um and so what we do is  we put that llm that and and not just an LM but

an entire AI operating system on top of uipath so  that when we uh are interacting with an employee

and an employee expresses a particular intent to  interact with the system that we can trigger that   uipath automation to go and pull information from  one of those applications or put information into

or move information from one to another and it is  that that is really going to unleash productivity   in the Enterprise and yeah basically the whole  toour that I have is about agentic AI um Daniel

and Stage explained it where are we now and where  are we moving to if you look to agentic AI from

what is your role with inflection AI into this  process of identic AI so what we believe is that

the human computer interface is going to be  transformed by conversation um so what we aim   to do is to be able to provide the Enterprise with  a single conversational entry point for all their

employees to all Enterprise Information Systems  um and so the challenges that uh that we’re going

to have over the next you know couple years is  as AI becomes a part of all of these Erp and and

enterprise software systems is I’m going to have  one conversation with SCP and then I’m going to   have one conversation with workday and then I’m  going to have one conversation with Concur and

then and and employees are going to go insane with  all those different conversations just the same   way they’ve gone insane with all the uis right  so we think there’s an opportunity here to be the

friend of the uh employee by saying look there’s  one entry point we’re the conversation layer uh

you have that conversation we then route that  conversation we manage all those other AIS that   are across the Enterprise we manage the actions  through a UI path so that you have a consistent

way of being able to gather and follow workflows  uh to get to get work done in a more personal and

comfortable human way with the in the governance  that’s defined by the organization secure reliable

um in your own private Computing environment  and with auditability and and compliance a bold   statement to to make it happen but I think yeah  a great View and I’m really going to follow you

really really closely and uh thanks a lot for  sharing your story not only your stage but also

here with our audience and I’m going to the next  uh the next one see if we can have more of these

type of great stories there’s Amazing Stories here  enjoy your time yeah thanks thanks this was St

and I think they have um an amazing view amazing  vision and I’m going to follow him closely if he

can execute on this and how the market is going to  develop and I will keep you up to date of course

anach how are you I’m good how are you you have a  wonderful journey and on one hand you can say if

you have a certification can you get any job or if  you want something and you get the certification

you can basically get get anywhere can you explain  your story how did you get started with the help

of certification to get your first role sure  so my journey is quite interesting I started

with uath Academy so it’s the only place where I  can learn a lot deeper and all about it and when

I started learning I realized yes you have to  show your skills and the only way to show your

skills and prove that you are certified is to  clear the certification and that’s when I got

my first certification of uath advanced developer  certification and that’s when I landed on a job of   advanced developer it was crazy amazing and then  when I started exploring this new job that’s when

I realized now I can step up in order to step  up I have to step up at a position of solution   architect now how do I get this skills so I again  started exploring and now there’s uipath solution

architect certification I learned about it  I learned it all from uath Academy there’s   a dedicated course for the certification and  the moment you complete I have a certification

I show it to my organization internally also it  helps you to grow within your organization as a

solution architect and it was the first one uh as  a solution architect with certification of uipath

and then quite amazingly I got a fascination  of completing all the certifications so I

went ahead I explored and uat has so many amazing  certifications which you can clear and how many   do you have I have all and how many is that I  think there are like pretty much 7 to eight and

the very recent one new one is automation Suite  that’s that’s where I’m headed now so yeah that’s

the only certification which is pending for now  because it’s announced literally I got know about   it today and then very recently just few months  back when I was doing the job of program manager

project manager and now you know right everywhere  AI is a new generation so everyone is talking   about AI so how do you get a job in AI that’s very  interesting and that’s when most of the companies

out there they have courses but they don’t have  proper certification for AI and uath has advanced

AI professional certification which I completed I  proved and I showcased because in order to get the

certifications you need to prove your work you  need to actually have hands-on experience only   then you can actually crack the certification  so and what’s your role now so so currently I’m

working as an AI architect mhm and the part which  actually helped me a lot to get this position of

AI architect is the certification let me tell  you how so I was working as a program manager   and if you want to step up the ladder from project  manager to a New Journey or a new role so I saw

that there is opportunity as AI architect and  most of the products out there they don’t have   certifications but they have courses for AI uipath  has a certification of professional AI which I

cleared obviously you need a handsone experience  you need a good amount of experience to work with   this product and the moment you have it I got  the certification and I got the position as an

architect which is fascinating can you explain how  the companies were thinking and how they are going

through their selection process and how they  use these certifications so not from your view   but from their view so as an organization what  organization looks into is that the more certified

developers or the more certified professionals  we have the more stronger appearance we have in   the presence in the industry right so when they  step outside when they talk with customers they

proudly say we have 20 certified developers we  have four solution architect certified people

we have two AI professional certified developers  so you can imagine we have the capability because

we have certified developers it helps a lot  for them to gain advantage in the competitive

industry where most of the you know experts and  companies are talking about AI but when you have

professional it helps you a lot in the industry  to to gain more and in the end they want to get   business but if you’re not certified and say oh we  have somebody but he’s not certified it’s hard for

them to sell you so if you are certified you’re  let’s say top of the list to get highed exactly

so it’s not only the benefits for company mhm from  business side but it’s also from the networking

side marketing side you look at the community side  every way you have benefits because once you are

certified you easily get connected with all the  people from Community you get a good networking

and you get a good amount of people who are  talking about you right so when you certified   people ask you questions they recognize you and  then that’s how your company gets benefit from

everywhere I’m talking about recognizing you  many people will recognize him because you’re   quite popular on your YouTube channel so you  started sharing your knowledge as well after

doing your courses and it brings you a lot of  nice relationships lot of exposure on on YouTube

and you have maybe some other channels but you’re  famous in the UI PA Community I must say that’s

nice of course but that’s not the key part why you  did the certifications certification you did for   your job but um for all the people that want to  learn something about U IOD they need to follow

you what’s your YouTube channel uh my name is n  kadam my YouTube channel is also n kadam perfect

thanks a lot n Nar and uh follow Nar because then  you can learn a lot and get certified because

that’s the way to get your job I’m going to the  next booth and thanks for sharing see you again thanks so I’m continuing my tour and we’re going  to look for some interesting part especially for

children where children can really benefit  from Ai and and most people think maybe that

it’s dangerous to introduce children with AI but I  think U we have a nice example here with Catalina

Catalina hi Hi how are you I’m good glad to have  you here at our uad foundation Booth yeah thank

you thank you for inviting me and we have a tour  with all kind of interesting views how AI is used

and you educate children and especially children  that maybe don’t have access to the technology

because of their parents don’t have the resources  or they are in the situation maybe at home where

they don’t have the access why is it so important  for children to have access to AI technology

because normally people think oh AI or all this  new technology when they’re older they can get

access to it but not now why is it so important  yes I think that um we should give uh children

that live in poverty the same opportunities that  uh kids in more privileged or more um well-off

environments uh have so we want to make sure  that they have the same chances to reach their

potential through technology AI being one of the  the skills that they they should acquire to be   able to thrive in the in the future so I think  it’s very important to at least give them the

basic understanding of what AI is how it works  works how uh the ethics of of AI play out so uh

they are connected to the world and to the Future  in the same way as other other kids and can you

explain a little bit the level of education is it  Die Hard programming or is it more understanding

the whole scope what AI can do for you yeah we  have uh actually we have several digital skills uh

initiatives to teach uh kids uh one of them is the  the AI curriculum we we started with uh General

introduction into into AI uh where we teach kids  the basics of of AI and how it works and how they

can make a good use uh of it which are its dangers  which are it which are its advantages or um

how they can integrate it in their uh in their  life in a meaningful way um and uh we also do

other types of digital skills with uh with kids we  do programming um but uh we were really interested

in giving them this general knowledge uh to begin  with and we will progress and and can you give

some examples because you just told me more than  thousand students per year which is a lot so what

kind of progress do you see with these children  how do they benefit from it so uh we serve one

,000 uh children uh each year with work that we do  at the uad foundation um the pilot was uh for 100

students in in high school the AI pilot the other  um students do all kinds of other educational uh

activities uh we received a very good feedback uh  for uh from the children that took part in the AI

course uh they really enjoyed um having trainers  uh that were uat volunteers so they were real life

professionals that use this kind of tools so I  think kids really connected well with uh with them

we had a great completion rate and uh I think they  want more they they gave us this this feedback and

we are working on it to to provide more knowledge  for them yeah and especially if they say they want   more then they liked it and if they can get  their path with AI at least they can benefit

from it and can decide themselves uh how they can  develop themselves faster better and uh teenagers

are very honest you know they like something they  like it if they don’t they they will let you know   you can see it they don’t do anything I I have  some teenagers as well so I know why by heart

katalina thanks a lot and great great work keep  on doing the great work much we are we are happy

to do to be doing this work and thank you for  for making it more visible perfect thanks thanks

bye-bye so most of the people are gone  already it’s uh it’s the end of the event

but I think it was interesting to understand  what people think about gentic AI um what they

believe where they are now in the process what  changes they need to make either to themselves

to the organization and how this is going  to impact their job their Enterprise in the

positive sense I’m sure that the gentic AI is  going to be an important topic um within the

industry it’s going to evolve and going to watch  it closely thank you for joining here um at UI

paath forward number seven in Las Vegas it was  a great event we’re closing down right now and U

looking forward to seeing you next time and of  course I am also curious about what you think

how agentic AI will impact your future it can be  positive or negative let me know in the chat and

I’ll get back to you thanks for watching and  look forward to seeing you next time bye-bye

It's an exciting time in the technology space. We've gone from deterministic analytics and business insight through to predictive and probabilistic capabilities with machine learning, through to the huge hype around generative, LLMs and now agentic — which can pull all of those pre-existing technologies together to unleash a new era of business performance and uplift.

Chris Ashley

VP Global Strategy, Business Development & Partnerships at Peak

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