AI in Action - Transforming Industries, Business and Society

Welcome to the unDavos Summit - A community-organized series of interactive panels, talks, and networking taking place in Davos, Switzerland - and online - in parallel to the World Economic Forum’s Annual Meeting 20-24 Jan 2025. Our mission is threefold:
• Democratizing Davos: We open the doors to diverse voices and ideas, breaking down traditional barriers to participation.
• Humanizing Davos: We foster genuine, relationship-driven connections that go beyond transactional networking.
• Bringing Action to Davos: We turn meaningful discussions into tangible, real-world solutions.

Join us for an insightful panel discussion titled "AI in Action: Transforming Industries, Business and Society." This session delves into the transformative power of artificial intelligence across various sectors, addressing its applications in healthcare, finance, and manufacturing. Our esteemed speakers will not only showcase the benefits of AI but will also explore the ethical implications and the regulatory landscape surrounding this rapidly evolving technology. 

Meet our expert speakers:

Gulay Ozkan - Founder at GEDS Strategic Design Consultancy
A global entrepreneur recognized for integrating engineering and design to address exponential technologies. Gulay’s accolades include the DMI Design Award and being named in Fast Company’s Top 100 Female Founders. 

Ruxandra Ion - CEO at VENTIVO GROUP
At the helm of a global organization that merges technology with sustainability, Ruxandra has built transformative solutions across multiple industries, championing research and talent development within AI and machine learning fields.

Russ Wilcox - CEO at ArtifexAi
A globally recognized AI expert and leader at ArtifexAi, Russ is a TED and World Economic Forum speaker with a proven track record in developing advanced AI systems.

Nina Heiler - Senior Manager at Accenture
Nina leads major technology transformation initiatives and shares her insights on AI and IT security, while also supporting startups in their scalability and strategy.

Jovan Protic - Vice President of the Board at Ringier Axel Springer Polska
A prominent voice in the intersection of AI, media, and advertising, Jovan's efforts are focused on understanding and implementing AI’s transformative impact on digital media landscapes.

Don’t miss this chance to learn from industry leaders and engage in discussions that can spark real change. 

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Transcript

(00:01) [Music] uh I'm founder of uh get strategic design consultancy and currently we focus on um upcycling and recycling people uh in AI space and today I have um three distinguished speakers and then uh indeed um do we do we have the slide okay okay and uh uh I have um just a second sorry I have Nina haer uh she's a senior manager cyber security senior manager at exander welcome and I have Ru VX from Boston he's founder of and the CEO of artifacts Ai and I have Yan provic protic protic yeah and he is Vice President of the board ringler access
(01:00) singer and I think we he just back from the barrier right to Europe so it's okay um I'm so happy that we have uh now we will be able to cover very different angles uh in AI space and uh in the program I have also you can also see roxander Aon and he's I'll take care of his uh his uh work and the later on the social media this the deal so thanks for understanding um uh we have quite a lot of topics to cover uh but let's start with something very uh personal uh I'm sure everybody is going through some transformation have some
(01:45) fears or agendas for this Nic coming wave uh I would like to hear what are your personal experiences with AI and but I would like to hear really your personal experiences like are do you use do you have any fear do we have any plans yeah go ahead please on yeah so actually as you just mentioned we all walk through a brilliant and great transformation there's a lot of lessons to learn I think and as you already mentioned I started I think already 10 years ago in the cyber security industry and this was also the time when AI was yeah a bit new
(02:23) to all and we started also using AI Technologies to detect threats automatically and this I also did for the past eight years and just four years ago I moved on also did my own and personal transition in looking into the broader picture and also helping companies to transform their self so now I have the perspective of endtoend uh strategies and also processes up to the uh operations and um transforming organ organizations and companies obviously also brings a lot of Technology with it but also the human factor is crucial to
(02:58) look into and just seeing this broad field is super interesting I'm very happy to see this and also obviously share some insights thank you and uh would you also briefly mention about like what you do and little bit your background because you have amazing cyber security background right yes um so cyber security I think you all have heard something about it already it's nothing new but uh the hacker industry and also the threat industry is just significantly growing and there are different different type of interests
(03:29) why hackers attack the organizations and also um U personal interests are behind that uh so disinformation is one thing capturing IP and uh also just destroying or trying to to um yeah hurt the industry or the companies or the competitors so to say you r hi everyone uh my name is Russ wock CEO of artifacts Ai and I guess I can give you a little background about my company through the story that got me really excited about AI so um I've been in machine learning my entire career and we're typically used to dealing with
(04:08) data that is generated by these things um but in 2021 I had the opportunity to go to a local government meeting around uh city building only to feel like that I stepped into 1700 where there's a lot of paper records They didn't know what was going on and I said how do we operate as a society and we scale this up to to the federal level or the the United Nations and you see policy makers bringing in these massive binders of paper how are we supposed to make actually data driven decisions and so I saw a broken system that we could really
(04:43) use AI for a novel use case of being able to read through and understand all of these documents and create new data sets to solve a broken system and diving into that it led me to realize that there is a whole new field of opportunity where we could be using AI to really make a more connected World help plan our cities better make them more sustainable but also profitable but also going into the world of public record where there's lots of paper records about people out there that you typically have to just read through
(05:17) manually but AI has allowed us to supercharge that and get really detailed profiles on individuals on policies and be able to connect them and so through my work with artifacts AI I got really involed D with AI ethics and one of my concerns is that we are at a such a pivotal moment in AI development where we could be doing so much good but only a small number of people actually know how to use its power so how do our local communities interact with this how does the average person be able to adapt into this new world where we could have a
(05:53) very strong connectivity between nation states between communities or we could go down the path of just pure IND industry where we have digital or techn feudalism and that's one of my scary things so I talk a lot about that I'm also expert in Residence at Boston University and a distinguished member of the American Society for artificial intelligence and I'm glad to be here you hi my name is Yan uh I'm the vice president of the board of Rinx Springer uh that's a joint venture company of of large German Media Group a
(06:25) springer publisher of Business Insider in US Politico build and devel in Germany uh but also on it and other portfolio products and brands that actually uh I'm running as as a vice president of the board and and leader of the digital media portfolio of our company um but at the same time I why Ai and why I'm here with you today I was also asked by the board of ax Springer to uh to go to us for six months spent time in a Silicon Valley put my job on hold and basically try to understand how artificial intelligence going to
(07:00) influence media media business and inform the strategy of of a fer group I was basically looking for the potential Partnerships I was looking for the potential companies to to to work with um and I was also looking for a lot of inspiration around what one media and Marketplace company could do to leverage AI to to build Better Business yeah and when it comes to personal use of AI because that's also one of your questions well you know like during during my time in in silico Valley having in mind that I was traveling there without my family
(07:37) I had a lot of time yeah so I decided that like you know every couple of days I'll force myself to test another AI tool and you know when you're in your 40s you're not really into testing something every every day uh but this you know gave me a lot of value because like with every new tool basically that you use you realize a new use case and how much this can you know help you in your daily life so I came to the point now where like you know I even use AI when I get into uh whatever conflict with with my wife or my employees and I
(08:14) like you know and I ask like you know like having in mind what happened here what do you think I should be doing yeah and believe it or not it's almost like a mirror like very frequently you get a very good advice what to do next and like you know it was was recommending from flowers to to you know good restaurant you know it's so AI is Smart Guys yeah you I I have a friend in uh uh she's asking some questions about some conflict with her boyfriend so so I so let's follow up um uh I have another question that because just because you
(08:49) had this um uh six months period in in the baray area uh what are the I mean do you see any differen in in the in different regions like how people approach to this AI adoption AI development or in general the mindset of all those things yeah there there are quite significant differences I mean to my surprise those differences are even visible between like you know East Coast and West Coast in in us like you know like coming to New York because I had a couple of business trips to New York we have some portfolio companies on the
(09:23) East Coast I would be surprised what kind of questions I would be asked in New York basically around use of Ai and application of AI things that are like somehow like you know like given and everybody knows about them uh in Silicon Valley in in New York would be like you know something maybe interesting but still not explored to the full extent given example uh I don't know I I posted on LinkedIn my ride in Vore uh in in in San Francisco and I I was surprised to to see that when I was on one of the events in New York
(10:00) there were quite a few of people who were asking me what is that is that really possible you know and I would expect that in Europe like you know but that in us like there are still a lot of people who do not know about autonomous vehicles and you know at what stage of development they are uh like it opens your eyes and then like you know in in Europe I would say it's it's even like you know further and and that's also visible when it comes to like you know implementation of AI into the processes in the companies while you know in in
(10:30) Silicon Valley I already see a lot of scaling or or I saw a lot of scaling like in in Europe I see much more testing and experimenting and I think that there are still not enough companies that are really scaling AI Solutions I mean I have done a lot of work in different regions Asia Europe and the states I can say that there's quite a lot of difference and Ina you work in ER different in Germany us and the China right could you also mention about this Regional differences angle yeah for sure so if you look from a
(11:08) cyber security perspective obviously there's on the one side the threat side and on the other side you have a lot of uh compliance topics and there are definitely different rules and regulations which also lead to different Behavior so for example in China they are very locked and they are very concerned and around their own Technologies and environments within Europe is a lot of exploration so they trial fail and error they also try to adapt the me methodology from the US testing fast but also learning fast and
(11:39) in the US obviously we see that obviously through the big companies there the tech companies they are very much more mature and um they have these experiences already for decades so they act and and work a bit more independently but also very Visionary and they have also different kind of um complex CLI sets so I think these kind of streams you have you need to combine and it's also quite interesting perspective when you um just try from a company perspective to fulfill all these needs regulatory but also from from a
(12:15) threat perspective for example but also from a transform transformational perspective right looking into AI topics we have the AI act in Europe you have different sets in the US and China and from a company perspective I would say there's a lot of stuff to do and the companies are also struggling uh getting these things together yeah Europe a lot of regulations right indeed and let's uh dive into the verticals and R and you have a I mean I I found your company very interesting because it's not quite um easy to think the AI and the Urban
(12:52) Development together easily and uh would you just tell us like uh what are the most basic things uh implementations in Urban Development From perspective that's a really good transition um from the policy side because if we take a look at how we build cities whether you're trying to put up an apartment complex or A5 billion clean energy facility it all comes down to regulation and policy and often times you have to go into uh the permitting process where you have to go into a local government board or a state
(13:24) or a Canton level board to get approval and there's lots of ambiguities and messiness around around these paper policies and there's not a lot of visibility into how have projects have been successful in the past or how they can be helpful in the future so these projects that really should only take about six months to get approved take sometimes upwards of seven years because there's just so much messiness and so here this is a perfect op uh way to use AI to optimize this process so imagine having an army of analysts that could go
(13:56) to any government meeting in the world whether this is the local Canton here uh in Davos or um the United Nations or the city council of Boston and listen into every single meeting they have and then go back and read every single piece of paper from a building permit to a policy and be able to understand four things how did a project succeed what were people concerned about how did the board members interpret that and who are the key people and we use AI to optimize all of that so when we go to say build a new
(14:32) um clean energy plant in Utah we can say hey here are the community concerns ahead of time so when you're doing your permitting process here are the things that are personalized to that Community to get that project done and then here are the concerns that the board members are going to have and what we found is that we've been able to optimize that process by 75% where the AI is now acting as a super research tool to mitigate risk in five opportunity zones and removes a lot of layers of this ambiguity around interpretation of
(15:04) policy so where we use AI in this side is not to make the decision for you but to speed up how you get that information from these records and identify new opportunity zones to build more efficiently and sustainably while increasing your profit margins there are a lot of uh there are a lot of um implementation areas and we will continue on that topic and you how about the um digital media angle and uh how our AI is right now influencing all this digital media strategies there are a lot of um controversial topics there I
(15:41) AI is influencing many Industries out there but like media is probably one of one of the industries the most disrupted again yeah uh I already like you know was going once through the digital transformation media now we like you know talking about AI transformation so nothing new for us but in did like you know there like AI on one hand I believe could could kind of create the times that in which we will see some of the best journalistic pieces ever uh but on the other hand could also represent an existential threat to to
(16:18) journalism and Publishing industry and uh let me elaborate quickly on on both of these I mean when it comes to uh when it comes to you know on the good side yeah I I believe that you know a lot of work of journalist today is this kind of mundane repetitive work where it's not only enough anymore that you kind of research the topic and write a story and publish the story nowadays like not many people know journalists need to to search changing optimization cross linking the test the alternative headlines publish their stories on
(16:51) social media uh like you know saturate the stories with the particular keywords and all of these things now can be done with the AI yeah and I believe that this could free a lot of work for journalists to do the proper investigative journalistic work and like you know improve the journalistic quality on the other hand like you know where I believe that AI can help a lot is analysis of the large sets of data and finding correlation in the unstructured data sets and then I think that you know the this AI enabled journalists will be able
(17:26) to to you know get to the root of any corruption scheme uh as long as we have enough access to the proper data and like you know I could imagine that that uh you know some of the the the best stories out there in the years to come will be done with the help of with the help of AI uh why I mentioned also it could be existential threat I mean you probably see the trend all of us like sitting here in this room are interested in what's happening in Ai and we see that you know there are AI search ches out there and also that the the chat
(17:59) Bots are like you know turning into AI search engines one after another and uh the problem there is that you know most of these engines they actually first of all they are training their mods with uh with our content without uh like you know paying the copyrights and on the other hand they are summarizing our content so like uh you know people will be basically getting the information from those search engines without actually clicking and coming to the page of a publisher which is taking away you know uh one of the the The crucial
(18:33) monetization models for us which is advertising sales or potential sale of subscriptions yeah if people will be getting content on the new summary pages on the chat Bots then most probably they won't be coming to our websites and that's a serious threat and I I really hope that you know The Regulators out there will not allow this to happen because this could be uh you know kind of a legalizing the feeling and might have significant consequences on on democracies and and our societies yeah there will be some maybe new um kind of
(19:10) player maps in the digital media area uh and then in terms of cyber security I think uh right now it's one of the hotest topic do you think people have more fear in general this my first question because of all this uh uh deep fakes Etc and the second thing how AI is really reshaping or do you think it's changing the whole cyber security landscape well that's an interesting question so about the fear I think um only people which are not digging deeper into the AI Technologies and environment maybe are a bit more fearful so to say
(19:46) or respectful but at the end I think it's a great chance and obviously everyone can use it right but it's a great chance um to leverage good skills and Technologies to prevent from threats and attacks so um at the end I think it's uh something the hackers can use but also the companies can use to to prevent their self but obviously hackers will do the same and it will end up in a game between machine and machine so the more you invest into technology unfortunately the more you also look into uh the automation process the more
(20:23) you also a bit more safe yeah so I think this is something which can be managed so there's nothing which is super unknown and unmanageable so it's somehow a limited risk yeah um um could you give us an an example project that we can understand this AI implementation in Urban Development yeah so a good um example of this is let's say that we're looking at putting in a solar facility in in Utah historically what you'd have to do is you'd have to go through and understand that Community to understand hey do they
(21:07) want this is this going to be beneficial to them or are there going to be people who maybe have different interests than you that are going to try to stop your project and with AI what we're able to do is we're able to understand that Community sentiment from public records so often times you can go in front of one of these government meetings and say hey I agree with this project or I don't agree with this project with AI we're able to do this ethically because they agree to be on record and we can get that information to help developers
(21:38) understand what are the risks of this community are they dealing with some water quality issues that say a data center might exacerbate or on the other hand say that data center uses a lot of water but it doesn't care about what that water is it can be dirty water so if the data center were to put in a wastewater treatment facility that they knew ahead of time it could speed up their process so that's one application on the good side now kind of building on the cyber security side where there's a risk for this is that think about it
(22:09) when you buy a property you will get a deed or some sort of mortgage record that is public record typically at least in the United States you'd have to go to that County website and read through that well AI can read through all that in an instant so I can tell if my neighbor has four or five leans against this property and owes money but using the same process we can also identify whether the neighbor is on a board for the government that has a contentious vote coming out right so now we have a really interesting ethical problem is it
(22:43) good for us to digitize these records because it can help expedite these processes and bring transparency but when you start using AI to monitor government meetings and Link these documents you could essentially create new areas of corruption and threat and so that's one of the things that we have to think about as we bring in AI to the building world because it's not just on the building side it's our communities that are impacted so while there's a lot of optimizations that we do on the risk mitigation side for the developers
(23:10) there's also ethical issues that we help work with governments on on how do we digitize in the right way so that you could have good outcomes you and youan I'm sure you have seen many projects in the Bara could you give us uh one example that we can understand uh the current projects in the digital media in the media space yeah well there really a lot of interesting use cases like you know really light I cannot really choose one I'll share three so so I I mean on one hand like I I I think you know if you think of of
(23:49) investigative journalism you there there are tools basically applications of AI where where journalists can like you know with the help of AI basically analyze huge amount of data structure this data and then find correlations between different data points so give an example like you know we if we we would have public access to the you know Bank transfers like from let's say Poland where I live currently to I don't know kimman Islands we could basically you know like analyze millions of bank transfer files basically and check like
(24:24) okay give me all the bank transfers where the person who was transfering the money from warso to kimman was transferring the money in the amount larger than $1 million and then like for all these people like try to find a correlation with other people they were doing the same and with the government projects and like you know are they related to the so you can use like you know multiple different databases and try to find correlations that can really take you to the to the core of the potential you know corruption Affair uh
(24:52) another case is like we can change the way how we consume media yeah I mean uh we could now uce chat bots on the media Outlets some of them already did that we did that in Poland and our portfolio company built did that in Germany so you could basically you know instead of instead of like you know trying to find an article on what happened yesterday's match football match of your favorite team you could ask basically top of the homepage of your favorite News website basically what happened yesterday in in the game who won you can even ask for
(25:23) the I don't know video showing the the you know who scored the goal and and and so on so that's one another case and then you know there there's also a lot of cases around translating our content multiple geographies you know as a media companies so far we were very much attached to the language in which we were publishing yeah so if you are like publishing in uh Turkish or in Polish or like unless you're publishing in English probably only your Market is your Market indeed really but like now uh with AI translation you could be publishing the
(25:59) story in Turkish language and have it like you know visible in multiple different geographies and you have multi-million people basically you know seeing what you do this in seconds right exactly so I think it's a it's a very interesting time in front of us for Content creators yeah also like for video content like there are amazing Technologies they are enabling uh basically video translation so you could have a reporter of to build from the Geneva Motor Show doing a report and like you know presenting the new mall of
(26:35) Mercedes in German and we could basically with a perfect mimic translate exactly what he said in this video and show the video in English or in Polish or any other geography a where a springer is is present or any a springer today so yeah as you see I guess it was worth show for or share for I of course there are some ethical concerns there but we will talk about it and uh how about in in cyber security domain any tangible examples you can give us it could be in different regions as well so for AI yes benefits yes so I mean uh
(27:16) just years ago 10 years ago before um I really started in this industry you've been able to analyze threats manually so day by day there was spam there was a small pattern where an engineer was sitting there or programmer was sitting there and was saying hey this is something which is suspicious let's look into it and and uh let's identify if it's good or bad and it just changed over years and um just five years ago I think um it was impossible to analyze all available threats on Earth so there was a lot of data aggregation and we
(27:47) call it seam soxos Security operation Center where all this data get Consolidated um and then analyze automatically so less Engineers are needed and uh the threat uh can be detected in a very good quality um and also what we have seen is the transformation from uh the product perspective because years ago there were single kind of products organizations um needed to install and the large tech companies they took over this capability uh very quickly and we also see there a large transformation and also a collaboration between the smaller
(28:22) companies also get eaten by the bigger tech companies but seeing really how the technology helped to detect detect and and Resolute the threats it's it's great to see yeah any exciting uh products upcoming that you are aware of well I'm sure there are many but the ones that you you think that exciting uh one thing I very much learned I started in the antivirus business which was a single product and the antivirus industry it just grew significant significantly through email exchange data exchange uh everyone just had within the company
(28:57) right and um what we have seen over the time just mentioned that the big tech companies like Microsoft um they have been also following up on this and now we see the the threat detection is also super um good and years ago there was an interesting report that um the Big T tech companies they should focus on their business and the security firms they will run their own business and expertise but now we should see everything melting everything collaborating which is a great chance for the smaller ones but which is also a
(29:30) big step for the bigger ones and the portfolio is just growing for some of the tech um industry thank you uh in general in exponential Technologies I think always in the uh short term people overestimate the benefits and uh in the long run underestimate the benefits so it's in general so usually in the in the first two three years you see that we kind of um ignore the risks so that's why we always have some problems so now that's why I would like to focus on more the risk angle uh and there as do you think what are the like a very
(30:10) critical risks in urban development in terms of adaption and then what are some ethical and uh especially uh bias issues yeah so let let's pose an interesting use case that brings in the power of AI being able to translate things and structure data along with some of the security threats so um the power of AI allows us to go down to a local level a city hall a municipal government say in China and Source all of their public records and we can do this at scale say for every single municipality that has public record again this is not hacking
(30:50) this is just reading through all of this and classify all of these documents and one good outcome which we did was be able to map every single clean energy project that China is going to be doing in the next 10 years to get an understanding of that market and how they're doing hybridization that's the good side but imagine being able to do this in a country such as the US where you're able to get in an instant every single City plan right and you can connect those dots and understand where there's critical infrastructure that
(31:24) might be a threat right and so right now we've been able ble to hyper um be able to hyper explode the ability to get this information to say hey there's this there's this sewer system that this area really depends on that hasn't been upgraded in 2025 years now what if a terrorist organization was able to use that public information and identify those types of threats so one of the big things that's coming out for me from a from a threat side from the use of artificial intelligence is not only some of the serious ethical
(31:59) concerns around deep fakes or or intellectual property but with public record because people often think about this as oh it's old minutes in an archive right but the ability for us to understand at scale house toties are built can be a threat to us say if a terrorist group wants to identify an area to to launch an attack so we have to critically evaluate what are the ethics and what are the data privacy concerns around public record right now and those conversations are just beginning so again it's one of those
(32:31) things where AI has a great power to do well but right now there's also a lot of these unknown risks that are coming out of this these new technologies so these are some of the things that we're still grappling within the urban planning space yeah this is very important because we don't know like a in general most people are not aware of the what technology is going to bring right uh and then you one in the media area the media companies shape how we think so it's extremely easy sensitive these days there these days there are many
(33:01) platforms out there that shape yeah but the media companies including individuals I don't know I media companies specifically it has a huge impact on the society right and this uh risks and then ethical angles are specifically very sensitive right and please um tell us um what you think and what type of risks you think are very critical and uh how the comp companies media companies are addressing them I think you know first of all I mean speaking of risks yeah like even going Beyond media The Meta risk is like
(33:40) you know if this if we come to the stage of you know uh AGI and this fully autonomous in independent artificial intelligence like you know will we have enough of guard rails and security like you know implemented there to to you know to have a a thriving society that will still be around for in the years to come that's the you know problem of all problems and I think that there is not even enough discussion around that and if there is a discussion it's very artificial and I don't even dare to go deep into this discussion because I
(34:16) don't understand it uh now going level deeper and speaking of the media space I think that the the the massive problem actually started even before AI which was basically this you know super democratization of of of distribution that social media platforms brought to all of us that where every single one of us had a platform to share our content and and you know get the reach of millions of people and that is why we already today even before AI we had uh communities on social media that believe that Earth is flat and these are
(34:54) community of few Mill communities of few million people yeah uh so um I I strongly believe that that is the reason why there needs to exist a layer of professional journalists and editors who were like you know educating themselves to be able to assess and differentiate through from the fake and are they always right probably not they can make a mistake as well but probably much less mistakes than algorithm that can be manipulated and uh if we now allow this kind of uncontrolled stealing of the content from Publishers and presenting
(35:37) Publishers content on the third party platforms without having those users coming back to the Publishers Publishers will have the financing problem and if we get into that stage we will all be uh forced to rely only on what's published on social media and uh I'm really worried how the world might look like if we get to that stage particularly now when when social media platforms are even publicly announcing that they plan to deprioritize moderation and uh you know so everything you have in your mind or any one of us
(36:13) will be published out there without any control I'm I'm specifically very interested in media outlets in general their business models I think uh there might be a new position for the companies right because since every nothing is kind of uh checking the content in on the social media maybe those are the companies can give some authentic content and they give high quality content maybe that could be NE uh positioning for uh media companies actually I'm an optimist and I I believe that if we you know if it happens like
(36:49) that that you know we will be bombarded with a lot of trash on social media without any control and we'll have a hyper production of content done with the AI over there I think that the the the you know the reader of the future will be totally confused and lost and they will not know who to believe anymore and and this might also you know bring us to the situation where people will get back to their favorite media Outlet yeah this is what what I also think I think there's going to be a new positioning and uh how
(37:22) about cyber security angle because uh cyber security industry uh um is supposed to bring us some security right but at the same time there are a lot of ethical issues because what if you have some bias in your systems as well and or maybe some other risks that you see and uh you think how companies should address this risk let's maybe start with a broader perspective So within in cyber security or in principle when I'm talking about AI we consume a lot of data right and um also consuming the data right now we are at the limit of um
(37:57) um generated data and we move to the to the decade where to use artificial generated data because there's not enough available on Market but it contains also private information private data when looking into these fields right and one critical uh aspect I definitely see here also from an ethical perspective is how to handle the personal information personal data right and so from a cyber security perspective I think we have also um the chance to secure the environment of organizations but also looking deeper into personal
(38:31) security and also help uh individual people um taking a bit more Care on their information why is this so crucial because as you as all know that data is the new oil right um they convert US into money so um it's also really important to look personally into this perspective on how to really secure your own data and data you're collaborating with but also on the other side you have the perspective or the of the organizations and companies which contain a lot of Ip or sensitive data um which bring them the success so you assume or you project
(39:08) that the individuals will have a higher awareness of their own personal security I hope so okay okay so and at least for example with some of these deep fake examples we saw that the people have some objections and especially the the celebrities in the US uh so I also think that the individuals will have higher awareness so now uh we have uh five minutes left and uh I'd like to see if there are uh any questions in the room yeah uh maybe uh we share the microphone I can speak loud uh but it's it's it's recorded so that's why um
(39:49) should I just yeah thank you sh where was it there we go you mentioned with the deregulation of let's call them fact Checkers right it's going away and giving everybody all this freedom to I'll continue posting and there's a potential that a social media platform doesn't matter what it is May Outpost itself meaning there'll be so much nonsense that people will start using go back to the usual sources I.
(40:17) E a newspaper let's say for their latest news however with the fact that there's monetization on these platforms and now they're being giv such free reign with somebody these fact Checkers going away monetization is only going to increase and there are businesses out there that are solely there to post whatever it might be it could be complete nonsense but as long as the eyes are there they're getting paid so it would be a a battle that would might be hard to win for those Publications that are true Publications let's say or deemed to be
(40:46) true versus those that are posting nonsense how do you battle that because monetization is the one thing that's going to continue some of those threads going whether they may be complete nonsense I mean that's true money follow eyeballs yeah and like you know right now the you know the highest frequency in US of usage and time is spent with social media platforms and but honestly if it really happens as you predicted and I mentioned before I mean I can't imagine that people will start resigning from those platforms or will start visiting
(41:19) them less frequently and or will focus on those that you know continue doing the moderation so in a way uh you know uh this might you know create a situation where they will see less uh less Revenue there um I mean advertising Revenue particularly if you speak about meta yeah I mean we already see with Facebook like you know everybody's like if you speak to millenials or Jen's years nobody's like you know visiting Facebook anymore and like you know they they have they have resigned from from news media content I think already two or three
(41:55) years ago I mean the statement of of their CEO was that you know there are too many problems back then with media that was one argument and then and copyright issues on the other hand like you know their claim was that their users anyhow do not read news but you know if you see what happened in the meantime like and if you check your Facebook feeds they usually like you know uh post from your an uh like over there on a daily basis several times or people that you don't really care what they think there is no quality
(42:26) anymore and the frequency of usage of of that platform is significantly decreasing so if you now have like 100 times more like you know AI created content uh which is like you know done on purpose to manipulate the the the masses I think the people will recognize that and they might start like you know spending less time with those platform and might decide to spend more time either with the platforms that offer them like you know trusted content or with the news media Outlet like the did before I don't know which of these two
(43:01) or the big guys will change their mind and uh start moderating again AL any other questions uh done yep okay good now I imagine I could ask chat GPT this question but um for those who are in companies or businesses that might be industrial or you know not Tech forward uh what recommendations do you have on um learning about the best platforms and ways to use Ai and also to um you know put guardrails around the risk are there Consultants that exist are there companies popping up to teach how best to use it what what would you
(43:52) recommend for companies who just want to learn um there are I'll have very brief I would like to pass it to Nina uh there are quite many um upskilling and reskilling programs so uh that uh I think you should be familiar with the several platforms instead of one platform so this is something that I I work on but I would like to hear the um maybe exantra point of view because you see the major players as well I think um it's always the collaboration between various institutes universities and experts you can leverage uh to look
(44:29) deeper into this topic obviously there are consulting firms which are helping but also because we're talking about latest Technologies in AI it's still latest technology because we learn how to use it and to transfer it into value and I think there are very specific use cases where you also need very specific skills using the AI appropriately so um I think a combination of University and really young people youngstar great and and new ideas and of the people very well established within the industries knowing the threats also knowing the the
(45:06) the the industry quite well that's always a great thing I'm just thinking about how to involve politics right because we always try to build a triangle um you also need to double check rules and regulations you need to fulfill to yeah be on track with that uh but with that anything to add maybe from yeah yeah so I think so I've consulted with companies in the past the first thing is don't try to shoot for the moon first don't try to automate everything and this goes back to some of the questions that often pop up is AI going
(45:38) to take my job the answer is no not right now but a person who knows how to use AI will take an entire department so to recognize that opportunity and that risk where you want to start is thinking about what are monotonous tasks that you might Outsource or that you might have an intern do or someone whose whose job is maybe say a pargal or a lawyer that just has to go through mountains loads loads of paperwork right so start thinking about where there's not sensitive data that you can send back and forth to something like a chaty BT
(46:12) or a claw or a mistal and understand that as a test case so how do use AI to optimize your decision making not to make decisions for you and then the second is be intimately familiar with the use cases of each of the different platforms so chat GPT is very different than Claude which is very different than mistol all of them are large language models but some have better use cases than others so for example chat GPT is really good at taking unstructured data like a document and creating structured data like a CSV of people and budgets
(46:51) Claud on the other hand can handle massive amounts of documents it has a longer what we call context window so you're going to have less hallucinations on summarization and uh longer form documents and then mistol is more of a custom field for some more proprietary in information so when you're thinking about implementing AI within a larger organization first thing the the three tips that I would have is what data do you not really care about if it becomes used as training data right don't give it sensitive budgets those types of
(47:24) things we are running out of time so please yep uh second is find those tasks that can be automated and third make sure you pick the right model and you understand the differences between each one yeah okay thank you very much that was a very nice summary uh and uh thanks very much for your sharing your thoughts and your vision on the topic and thank you for coming and now I'm closing the panel and we will have another panel following this panel okay thank you thank you very much thank you he [Music]