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AI, Privacy and Crypto with Gokhan Polat and Punit Bhatia in the FIT4PRIVACY Podcast E160 S07 · The FIT4Privacy Podcast | Exploring ISO Standards AI Privacy | Grow Skills Store

• 0:00
  These days all the talk is about AI.
• 0:02
  Few years ago we were talking about crypto and in between or
• 0:07
  depends how you see it, we were also talking about privacy.
• 0:10
  Now, how do AI and privacy play a role in the crypto world?
• 0:15
  Well, that's a very fascinating question, but we need somebody
• 0:19
  who understands AI, who understand privacy, who
• 0:21
  understand crypto. And we have exactly that kind of
• 0:24
  a person in Gokhan Pollard, who's already been on our
• 0:27
  podcast and we are going to talk to him.
• 0:31
  And as we do that, I encourage you to visit
• 0:33
  www.fitforprivacy.com for your consulting needs on AI privacy
• 0:38
  and so sourcing of procurement matters and also
• 0:42
  www.crowskills.store for trainings.
• 0:47
  You can have ISO trainings, you can have EU regulation
• 0:50
  trainings, and we can also do bespoke customised trainings for
• 0:54
  you. So let's go and talk to Gokhan.
• 0:58
  Welcome to the Fit for Privacy podcast, where your host, Puneet
• 1:01
  Bhatia discusses the latest trends, challenges and
• 1:04
  opportunities in privacy, artificial intelligence,
• 1:07
  sourcing, and related fields with industry leaders and
• 1:09
  experts. Whether you're a professional
• 1:11
  business leader or just passionate about topics like AI
• 1:14
  and privacy, this is your go to place for insightful
• 1:18
  conversations and practical advice.
• 1:20
  The Fit for Privacy podcast is brought to you by Fit for
• 1:23
  Privacy, your trusted partner in AI, privacy and sourcing matters
• 1:27
  and gross skill Store. Your go to destination for top
• 1:30
  tier training on ISO standards and key EU regulations.
• 1:33
  Remember that opinions expressed in this podcast are not legal
• 1:36
  advice. Now it's time to dive in today's
• 1:39
  episode. Hello, and welcome to another
• 1:44
  episode of the Fit for Privacy podcast in collaboration with
• 1:47
  the Gross Skill Store. And we are very happy to have
• 1:50
  Gokhan Bolat here. Gokhan, welcome to the show.
• 1:55
  Thank you, Puneet. How are you today?
• 1:58
  I'm good. It's a pleasure to have you.
• 2:01
  And let's talk about because when we go to conferences, you
• 2:05
  and me and when we speak, there's always a talk about AI.
• 2:08
  So how would you put AI in context of today?
• 2:12
  How is AI or what is AI for you? OK, my name is Kyukan and I'm
• 2:17
  attending from Istanbul. I live in Istanbul and I also
• 2:22
  work and collaborate with Isaka, like punits, and we met with him
• 2:29
  in London, not in Dublin, Right Punits?
• 2:33
  We met in Dublin, we met in Istanbul, we met I think in
• 2:36
  Brussels also, if I remember. Russell yes.
• 2:39
  And I have been providing consultants in information
• 2:44
  technology, governance, cybersecurity, privacy and
• 2:49
  enterprise risk management domains.
• 2:51
  I have an experience. I have experience in.
• 2:54
  Crypto. Sector ecosystem I worked as the
• 2:58
  Director of Enterprise Risk Management and I am now also a
• 3:03
  work as a business development leader of blockchain oriented
• 3:08
  business models. Not as a service company we
• 3:11
  founded a few months before. And still I am in this sector
• 3:18
  and working with a lot of sector companies.
• 3:22
  And today I'd love to share my experience, knowledge and view
• 3:28
  about this sector. Good.
• 3:31
  So we were talking about AI, artificial intelligence.
• 3:35
  How would you put AI in a few words?
• 3:38
  OK. AI is extremely important.
• 3:41
  It's a technology which helps us to analyse a vast amount amount
• 3:47
  of data in a. Short period of.
• 3:50
  Time and it can also detect the patterns a human cannot.
• 3:58
  Able to do it. And.
• 4:00
  With this capacity capability, AI provides us a huge.
• 4:06
  Different business models creating opportunities in modern
• 4:12
  business type and it also brings a lot of problems I mean.
• 4:16
  Risk because. It's constantly changing and we
• 4:20
  have some problems of catching up with this transformation.
• 4:25
  Some companies unaware to understand what kind of
• 4:31
  technology they are dealing with, some of them cannot decide
• 4:35
  in which model. Which AI?
• 4:39
  Technology approach they should implement in their business.
• 4:46
  Or. Some of them still.
• 4:49
  Has questions about the risks. Or privacy problems caused by
• 4:56
  this AI technology and. This all creates difficulties
• 5:04
  for business theatres it this is.
• 5:06
  Important because for us, for the AI technologies improving
• 5:12
  very fast, very quickly. Every day we are.
• 5:14
  Hearing a new kind of AI application use cases in
• 5:21
  different sectors, it's exciting for us, especially the.
• 5:26
  People. Like me who loves to implement
• 5:30
  new technologies in new business models and to analyse.
• 5:35
  The risks. And help business owners in
• 5:39
  dealing with this kind of risk AI.
• 5:42
  Creates a lot of opportunities, Absolutely, it creates a lot of
• 5:46
  opportunities. And when you mention about the
• 5:48
  challenges and companies struggling to implement AI or
• 5:53
  not knowing what to do, I think that's where they need
• 5:55
  consultants like you and me because we help.
• 5:58
  We guide companies through training, through consultancy on
• 6:03
  how to approach AI governance, how to set initiate AI.
• 6:07
  But you also play do a lot of work in crypto.
• 6:11
  Yeah. So I would like to get into how
• 6:14
  does AI impact crypto. But first before we go into how
• 6:19
  AI impact crypto or what is happening in that field, explain
• 6:23
  to us in brief what is crypto? What is it all about?
• 6:27
  OK, Crypto. Is a huge sector.
• 6:32
  In crypto ecosystem represent a foundational shift from
• 6:35
  centralised Internet web 2 to decentralised 1 built on the
• 6:40
  principle. Of.
• 6:41
  Trust and transparency. As all we know, ISACA created
• 6:47
  and delivered a digital trust ecosystem framework when I first
• 6:51
  started in crypto company. Crypto asset service.
• 6:56
  Provider company I I. I saw there are.
• 7:00
  Different kind of assurance functions.
• 7:04
  Trying to create distrust. Ecosystem between their
• 7:09
  customers, partners, legislation, authorities and the
• 7:15
  clients so. They they try to.
• 7:18
  Make it with employing or wasting a lot of money and using
• 7:22
  different. Technologies.
• 7:24
  To make it more secure after a while I make my analysis and so
• 7:31
  in crypto sectors, trust is extremely important.
• 7:36
  So that's crypto and the AI is there.
• 7:39
  And now how does AI play a role in crypto?
• 7:42
  Or is AI playing a role in crypto somehow?
• 7:45
  But is AI impacting crypto if I can ask?
• 7:47
  It OK Punit, because you asked me what about what is crypto?
• 7:52
  I'll make a general explanation then move on with my experience.
• 7:58
  OK, I made a mistake because I couldn't stop.
• 8:01
  OK, crypto is important. It is because changing the the
• 8:06
  financials ecosystem globally, it changes the dynamics we use,
• 8:12
  we we used. To.
• 8:14
  From another. It's it's.
• 8:16
  Bringing us to another understanding the crypto
• 8:19
  ecosystem, Web Three presents a foundational shift from
• 8:23
  centralised Internet web. 2 to a decentralised.
• 8:27
  One built on the principle trust and transparency.
• 8:30
  It is core web. 3 provides the infrastructure.
• 8:34
  Of trust, a global peer-to-peer network where.
• 8:37
  Transactions and data are recorded on an imitable tamper
• 8:41
  proof Ledger. The importance of the system is
• 8:44
  rapidly expanding from a niche experiment to a major global
• 8:49
  network with over 220 million month.
• 8:53
  Active addresses. Now it we are seeing in reports,
• 8:58
  in surveys of global players and it represents.
• 9:02
  An it. Represents an expanding digital
• 9:05
  economy. This.
• 9:06
  Structure is critical. Because it enables decentralised
• 9:10
  finance, it drives economical growth and this sector needs.
• 9:16
  To be secure or. Needs to be affected by AI
• 9:20
  technology in some different aspects now we're seeing.
• 9:26
  Crypto. Ecosystem companies needs to.
• 9:29
  Create a digital trust because it's.
• 9:32
  A competitive advantage for them to prove the customers,
• 9:36
  stakeholders, partners, banking organisations or investors
• 9:41
  venture. Capitals or legislative
• 9:44
  authorities? We're we're.
• 9:47
  Protecting, We're protecting assets of our customers in a
• 9:52
  secure business environment. This needs in changing business.
• 10:02
  Ecosystem caused. By AI Hype.
• 10:05
  They're also affected. And I think.
• 10:08
  Crypt. Ecosystem companies because of
• 10:11
  their financial. Power.
• 10:13
  They apply AI. In high levels, almost in all
• 10:18
  business functions. So AI is being applied by crypto
• 10:25
  companies and crypto creates trust.
• 10:28
  Digital Trust is the name of the game these days.
• 10:32
  And if I can ask, because you used the term web 3 dot O,
• 10:36
  because we often hear web 2 dot O3 dot O and sometimes 4 dot O,
• 10:41
  would you have some insights for us to classify what is this web
• 10:47
  3 dot O or is web 4 dot O on the way?
• 10:52
  In Web 2IN Web two we stick on the capacity of internal service
• 10:58
  providers. I mean the infrastructure they
• 11:01
  created we can operate in defines.
• 11:05
  Or. Defined environments.
• 11:08
  We have very limited opportunities to use this
• 11:13
  system, but in the decentralised ecosystem, thanks to blockchain
• 11:17
  technology, we can. Operate with the.
• 11:22
  Environment We created our transactions, our communities,
• 11:28
  our business models created in blockchain environment.
• 11:35
  Just stick to the features of. Blockchain technology not an
• 11:41
  intermediary player, and this creates a more democratised
• 11:49
  financial ecosystem or more democratised communities.
• 11:55
  Which? Are not in the influence of
• 11:57
  strong technology vendors. And when we talk about crypto
• 12:05
  and when we talk about AI, yes, AI is being used in crypto.
• 12:09
  But would you have a few scenarios, examples, use cases
• 12:14
  in which AI is being used in crypto and it's changing the
• 12:18
  game? OK.
• 12:21
  In the crypto ecosystem, we have been in financial sector, I
• 12:26
  mean, not just. Crypto AI supported GRC tools K.
• 12:32
  YCML Tools. Cyber secret threat
• 12:34
  intelligence. Tools or other cybersecurity
• 12:39
  technologies were supported by AI for.
• 12:43
  Long, but now we're seeing an accelerate in usage of AI
• 12:50
  technology. As I mentioned, we can use these
• 12:55
  technologies to analyse in onboarding process.
• 12:58
  For example if I want to be become a member of our client.
• 13:03
  Of a crypto as a service provider I should.
• 13:06
  Follow some specific processes which makes which and forced me
• 13:12
  to introduce myself to this system before.
• 13:17
  You have to speak with a. Client representative and.
• 13:22
  You have to. Prove them.
• 13:23
  You are the real. Person, but now with AI.
• 13:26
  Technology. It is very.
• 13:27
  Easy in in two or three minutes. It is easy to introduce
• 13:33
  yourself. You are the person you claimed.
• 13:36
  This is an important area. It's.
• 13:37
  Makes this processes faster. And more reliable because the
• 13:44
  previous previous systems caused some fraudiant problems.
• 13:53
  Fraudiantal problems. Some customer representatives
• 13:59
  use this information for their own benefits.
• 14:03
  But with the. Help of this technology, AI
• 14:06
  technology we do not have. To trust.
• 14:10
  Persons, people in the in the, in the media, in like onboarding
• 14:15
  process, KYCN, AM, LS and other important area.
• 14:19
  Where we, where we use, where we apply AI.
• 14:21
  Technology. Now companies can follow the
• 14:26
  transactions. Who?
• 14:29
  Sent what amount of money or? Digital asset to which?
• 14:35
  Client or which person? Before we also use.
• 14:41
  A high number of expert analysis to follow these transactions
• 14:47
  because. They just state authorities like
• 14:50
  FATF. Rules.
• 14:51
  Maybe you heard about it? FATF rules Global for the KYC
• 14:58
  domain. Before we have to hire a lot of.
• 15:03
  Experts. Analysts.
• 15:05
  To follow these. Transactions.
• 15:06
  But now AI supported systems use a lot of a big amount of data on
• 15:15
  real time, analyse transactions and find anomalies and IT.
• 15:20
  Also increases our capacity. To comply.
• 15:25
  With legislative authorities expectations.
• 15:29
  And. It's also important because.
• 15:33
  Legislative authorities also know.
• 15:34
  AI we should. We should.
• 15:37
  Use AI technologies and they have limited.
• 15:44
  How can I explain? I forgot the name meaning of
• 15:46
  this meaning. They don't care, Ivan.
• 15:49
  They do not close their eyes. Now they want you to manage.
• 15:57
  These processes without with little failure because they want
• 16:02
  you to AI use AI systems because of we.
• 16:07
  Had some risk. Appetite that caused by.
• 16:12
  Human failures, but thanks to AI technologies, in this process we
• 16:18
  see a. Lower human failure.
• 16:24
  Failure. And we also use AI technology
• 16:27
  and cybersecurity area AI supported DLP CM system.
• 16:32
  Firewalls or? We can also analyse the.
• 16:35
  Rules of this cyber security tools with the help of AI it's.
• 16:39
  Becoming. Very easy for us it I I took
• 16:43
  part. In DLP governance.
• 16:47
  Consultancy projects for different.
• 16:50
  Financial institutions it's not. Easy it takes.
• 16:53
  Three or four months to analyse. All the rules.
• 16:56
  And minimise the. False positives of the.
• 16:59
  Systems or find the for exception acceptance or.
• 17:10
  The. Correlation with CM tools.
• 17:13
  Data classification tools and firewalls, but with the help of
• 17:18
  AI. This becomes easier for us and
• 17:22
  another area in a smart contract analysis.
• 17:26
  As we know of, smart contracts now work for us and.
• 17:30
  Apply the our. Contract requirements
• 17:36
  automatically because. They are caught.
• 17:39
  They they they are. Written.
• 17:41
  Codes, but they also. Include they also had.
• 17:49
  They may also have. Problems.
• 17:51
  Failures. Flaws.
• 17:53
  Now with the AI systems, we can. Upgrade these codes.
• 17:58
  And help them to work much better, much faster and in in
• 18:07
  another. Case if they.
• 18:10
  The marketing teams, crypto ecosystem companies now use AI
• 18:16
  systems to analyse customers, that changing customers
• 18:20
  expectations, what kind of problems they are experiencing.
• 18:24
  Or they use also AI to provide training.
• 18:29
  For clients. Because as we all.
• 18:32
  We know in Dora and Mica the customer training is another
• 18:37
  important aspect of creating digital.
• 18:40
  Trust Ecosystem. Your customers are now facing
• 18:43
  with a complex technology, blockchain and crypto technology
• 18:47
  and with the help of AI system you can.
• 18:50
  Create. Tailored training Training
• 18:55
  platforms online you can go. Register.
• 18:59
  And how can I explain you? Can you can improve your
• 19:04
  understanding about these systems?
• 19:07
  Of course. So AI and crypto combined is
• 19:10
  being used for fraud detection, cybersecurity, transaction
• 19:14
  matching, customer identity verification for KYC as you
• 19:17
  said, anti money, long term fraud detection, budgeting,
• 19:21
  training. And one else for.
• 19:24
  Example it's it's. Now we see it in.
• 19:28
  Every area of a. Company.
• 19:31
  Because for example I spent a lot of.
• 19:35
  Time in choosing right person for the company crypto.
• 19:38
  Source provider because they have to be careful.
• 19:42
  Whom to? Hire because of there are a lot
• 19:45
  of. Assets money, so they.
• 19:46
  Have to be careful. About it now thanks to AI, the
• 19:50
  human resources people. Have the capacity of AI.
• 19:54
  And they analyse the, you know, series easily, they analyse,
• 19:58
  they may have some video recordings, analyse the persons
• 20:05
  and before taken to them, to the office, you know, meeting.
• 20:10
  They can make selection. Thanks to AI.
• 20:13
  No, I was working with a client and they were using AI to
• 20:18
  analyse the tone of voice or if they're on chat, the tone of
• 20:22
  tonality of the language and analyse if the customer is
• 20:26
  angry, If the customer is satisfied, what are they
• 20:30
  thinking? Are they?
• 20:32
  And then guiding the customer support service executive to
• 20:37
  change the tone or giving advice on real time dynamic.
• 20:41
  Why don't you say this? Why, of course, it becomes too
• 20:44
  much for the customer service agent because 1, he has to
• 20:47
  listen to he, he or she has to watch what the AI is suggesting.
• 20:52
  But it's working in tandem and then making life easier.
• 20:56
  So AI and human combined. But there are a lot of use cases
• 21:00
  indeed, which can be used. But what about privacy when it
• 21:03
  comes to crypto, AI and all these things combined?
• 21:06
  Because AI creates privacy concerns and then crypto was
• 21:10
  alleviating privacy concerns. So crypto was being seen as
• 21:13
  something protecting privacy. So what is happening with the
• 21:16
  crypto AI combined? OK.
• 21:19
  It's a good question, but beforehand I have to.
• 21:24
  I it it will be better to to approach this?
• 21:27
  Topic from another approach. As I, I, I.
• 21:31
  Explained. I made brief explanation about
• 21:34
  the KYC AM L for the KYC AM L. Or on boarding process you
• 21:38
  should collect a lot of. Personal data.
• 21:41
  OK. But this contradicts.
• 21:45
  With the GDPR. Or Turkish version KVKK data
• 21:49
  protection. Legislation because these
• 21:53
  registrations also. Enforce you data minimization.
• 21:57
  You should collect minimal. Data for your business process,
• 22:03
  right or? According to contract or
• 22:05
  according to the. Agreement you did you do with
• 22:08
  your. Customers this contradicts I
• 22:11
  mean. FATF or rules and forced you to.
• 22:15
  Collect a lot of information, data to analyse.
• 22:20
  The frozen activity but GT Park. Or other data protection rules.
• 22:26
  Stops. You or minimise you and force
• 22:32
  you to get minimise information data from the customer.
• 22:38
  And now we are adding another dimension AI.
• 22:42
  AI systems using should be trained.
• 22:46
  It is a vast. Amount of data and if you want a
• 22:53
  strong AI. Tool you should.
• 22:55
  Train, train them. With similar features with real
• 23:01
  data. In this In this.
• 23:04
  Regard if you want to. Comply with data protection KYC
• 23:12
  rules and if you implement AI systems into the process.
• 23:19
  You should. Be define the context.
• 23:25
  Of your business. Requirements in the context.
• 23:29
  All we know we. Have organisation, vision,
• 23:33
  mission, legislative requirements, restrictions, the
• 23:38
  ecosystem you're operating. You should first know.
• 23:42
  And then define the baseline control baseline.
• 23:48
  I am trying to explain that. It you have, there's a
• 23:52
  contradiction, there's a. Problem because you need data.
• 23:54
  But GDPR or other? Data protection authorities or
• 23:59
  legislation wants you to be careful about using collecting
• 24:06
  the data now you should find an optimum.
• 24:11
  Point the help of. Understanding your business
• 24:16
  context in the business context, there are different factors.
• 24:20
  Some of them are extremely. Valuable.
• 24:25
  And necessary some of them are you.
• 24:27
  Should. Leave them behind and
• 24:30
  legislative requirements are extremely important nowadays
• 24:35
  because legislative authorities. Some cases may.
• 24:39
  Stop all your business. Process and protecting or.
• 24:44
  Respecting the privacy issues. Now is extremely important in
• 24:49
  digital trust understanding all we know there is an organisation
• 24:54
  Edelman and from 2001 Edelman is publishing or publishing a
• 25:01
  report Edelman trust parameter in parameter in this.
• 25:05
  Report, it says. In a few years.
• 25:07
  Before. When I was reading I saw it the
• 25:10
  customers now claiming 65% of. Customers sees data privacy as a
• 25:19
  factor which effects their decision to go with the service.
• 25:25
  Or not. If they, if they, if.
• 25:28
  They don't believe the company does not respect their data.
• 25:33
  They may not. Go to buy your service or your
• 25:38
  protection. And it's extremely important in
• 25:42
  crypto ecosystem too, if the and the clients in this.
• 25:46
  Sector clients are very curious. They are.
• 25:49
  More technology oriented. They use social.
• 25:52
  Media very efficiently you can see a lot of clients spending
• 25:57
  time in discord channels, select channels or Twitter if.
• 26:02
  They suspect. You are violating.
• 26:07
  Their data privacy issue or their rights?
• 26:10
  In data assets protection. You'll see.
• 26:13
  Your company's name in Twitter Hi.
• 26:17
  What do you say? Hi, what do you say in Punit?
• 26:25
  Higher in in the rankings. And basically the concept you're
• 26:28
  saying is, let's say I'm browsing a site and later on I
• 26:32
  see an ad in Twitter. So customers see that this
• 26:35
  company is not protecting my data because they were sharing
• 26:39
  with Twitter. Because otherwise how does
• 26:41
  Twitter or Facebook or LinkedIn know that I was on website XYZ?
• 26:46
  But you're saying it exactly right.
• 26:48
  I think ISO 27,701 or 42,001 also talk about when you're
• 26:55
  applying AI or privacy or anything in your organisation.
• 26:58
  Look at the external context. What is the company, what is the
• 27:03
  regulatory landscape, what is the society landscape, What is
• 27:06
  the legal landscape, What is the environmental landscape in which
• 27:11
  you are? Then look at the organisational,
• 27:13
  the values, the behaviours, the differentiation you want to make
• 27:18
  in the market and then decide on your strategy, whether it's for
• 27:22
  privacy or AI, and then build your privacy policy or AI
• 27:24
  policy. That's what we teach in the ISO
• 27:27
  42,001. We teach when we talk about in
• 27:30
  ISO 27,701. Let's start with that
• 27:34
  contextualization and then apply because GDPR, for example, as
• 27:37
  you said, it allows you to do the business, but with the
• 27:41
  necessary data, not too much, not too little.
• 27:44
  Choose the right data and then you have to do KYCKYC is another
• 27:47
  legislation. So apply KYC and GDPR in tandem,
• 27:51
  collect the right amount of data.
• 27:52
  And of course, your AI is data hungry, needs vast amount of
• 27:57
  data, yes. So for that, you train it, as
• 28:00
  you rightly said, with the vast amount of data, but synthetic
• 28:04
  data, not real data. Use synthetic data created based
• 28:08
  on probably your actual data, train it, train it well, test
• 28:12
  it. And then when you launch, allow
• 28:14
  it to read the necessity data. But very well said.
• 28:18
  But at this moment, as we close this conversation, I think it's
• 28:22
  also, I remember that you also have a podcast of your own.
• 28:26
  Are you still doing it? One of my colleagues, as you
• 28:30
  know, we had a community database.
• 28:33
  I traded. I founded this community a few
• 28:37
  like maybe 7-8 years before with my colleagues from KPMG or
• 28:42
  Sanyang. I had AI have a community as you
• 28:45
  know, because. I also hosted.
• 28:48
  You with my colleague and this community.
• 28:51
  I I work with one of my colleague Damra.
• 28:54
  I guess he also. Remember she's.
• 28:57
  Now in the period. Of.
• 28:59
  Examination she's becoming a financial strategist of a
• 29:03
  company and. She should.
• 29:06
  Go and pass some examination in Turkish legislation.
• 29:10
  So we gave, we gave this, we decided to.
• 29:13
  Give how can explain break two months break?
• 29:16
  Yes, but it was great because. It helped me to, you know, meet.
• 29:21
  With a lot of Isaka Isaka chapter leaders.
• 29:26
  All all around the world. And as as I mentioned you, that
• 29:32
  idea came from you put it. After the podcast, I.
• 29:37
  Attended with you and I love the idea because.
• 29:41
  It is not just sharing ideas, it's also.
• 29:43
  Making connection. Yeah, it is.
• 29:46
  Absolutely it is. And anyone looking for insights
• 29:50
  on data, crypto, blockchain or any emerging trends, I think the
• 29:55
  Data Bulls Data Bulls podcast, right?
• 29:58
  Yes, Data Bulls Podcast. The Data Portables podcast, yes,
• 30:02
  it's on a break for now, but there are a lot of episodes
• 30:05
  which are available and in future they will also come can
• 30:08
  be a good source and then if you want.
• 30:13
  And put it I. Also started.
• 30:16
  LinkedIn list later just. Trust for web three.
• 30:20
  Good. It is This week I published.
• 30:23
  21st, 20. One, yeah, but anyhow, the
• 30:27
  episode will go later, so in a few months.
• 30:31
  So essentially you publish 20 plus.
• 30:34
  Yes, 20 plus edition. Yes, I started.
• 30:39
  LinkedIn newsletter a few months before the name is.
• 30:44
  Digital Trust for Web 3. I'm explaining digital trust
• 30:48
  ecosystem. Framework of ISACA.
• 30:50
  And how can we apply this framework?
• 30:53
  Into the Web 3 ecosystem. The business models.
• 30:57
  That uses blockchain technology and you can.
• 31:01
  Also check this editions. And share your comments now.
• 31:06
  Based on all this, if somebody says, hey, I want to get in
• 31:10
  touch with Gokhan for a public speaking engagement or maybe a
• 31:13
  consultancy or a training, how can they get in touch with you?
• 31:19
  Punits, my friend. I use social.
• 31:21
  Media efficient I guess. I have a LinkedIn LinkedIn
• 31:24
  account. You can find me in LinkedIn.
• 31:27
  You can. Check put it Bahatis podcast I
• 31:31
  also leave. Likes and comments under his
• 31:34
  podcast, publications and. Maybe I can?
• 31:39
  Share also my e-mail if they need to connect with me, but I
• 31:43
  guess the social media is the easiest.
• 31:45
  One is the best part. Yes, this best one.
• 31:49
  Good. And for those of you who do not
• 31:52
  know, he's a public speaker and he speaks a lot of conferences.
• 31:56
  So if you need a good speaker on crypto, blockchain and all these
• 32:00
  emerging tech along with AI data management, he's the guy to go
• 32:03
  to. With that, I would say Gokan,
• 32:07
  thank you so much for your time and sharing your thoughts.
• 32:11
  Thank you, Punit. You gave this.
• 32:12
  Opportunity. It's very valuable for me.
• 32:15
  I hope we can discuss on another topic in the following time.
• 32:21
  Absolutely. Thank you for joining us on the
• 32:24
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• 32:27
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• 32:29
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• 32:31
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