CXOTalk Michael Krigsman

#cybersecurity #ai
CXOTalk host Michael Krigsman interviews Michal Pechoucek, CTO of Gen and AI researcher, on the impact of AI on cybersecurity.
In this insightful discussion, the two participants explore the evolving relationship between AI and cybersecurity. The conversation covers a range of topics, from AI and machine learning (ML) tools in cyber defense and penetration testing to A/B testing in cyber attacks. The conversation also covers the challenges of AI and cybersecurity research and the maturity of AI-powered tools in the field. The conversation culminates in valuable advice for Chief Information Security Officers (CISOs) and Chief Information Officers (CIOs), as well as thoughts on the future of AI in cybersecurity, including the potential for cognitive attacks and the spread of misinformation.
The conversation includes these topics:
► Early applications of AI and deep learning in cybersecurity
► Consumer cybersecurity and AI-enabled defenses
► Evolving cybersecurity threats and cognitive attacks
► AI and deep learning: Defending against automated attacks
► Signature-based AI and deep learning to scale malware detection
► The challenge of building AI for diverse cybersecurity threats
► Importance of AI explainability in cybersecurity
► AI-enabled cognitive attacks, identity theft, and the future of cybersecurity
► AI to detect phishing attacks: Large language models and classification
► Importance of AI in Cybersecurity for Boards of Directors
► Bridging the gap between cybersecurity experts and boards
► Personal data protection: Tips for better cybersecurity hygiene
► Algorithm manipulation and privacy concerns; Algorithm manipulation and privacy
► AI and ML tools in cyber defense and penetration testing
► A/B testing in cyber attacks
► AI recommendations on data collection
► Challenges in AI and cybersecurity research
► Advice for Chief Information Security Officers (CISO) and Chief Information Officers (CIO)
► Future of AI in cybersecurity: cognitive attacks and misinformation
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Read the complete transcript: https://www.cxotalk.com/episode/ai-cybersecurity-cto-perspective
Michal Pechoucek leads the core technology, innovation and R&D teams driving security engines as well as Gen's technology vision for human centered digital safety and beyond. He is also responsible for the company’s scientific research in the fields of Artificial Intelligence, machine learning, and cybersecurity. He previously served as CTO of Avast.
Before joining Avast, Mr. Pechoucek spent over twenty years as a professor at the Czech Technical University (CTU) in Prague, during which he founded the Artificial Intelligence Center in 2001. Mr. Pechoucek has authored more than 400 high impact publications and contributed numerous innovative AI applications to research in computer science.
While pursuing his academic career, Mr. Pechoucek co-founded several technology start-ups including cybersecurity firm Cognitive Security (acquired by CISCO in 2013), AgentFly Technologies, which specializes in controlling autonomous aircraft traffic, and Blindspot Solutions, which develops AI for industrial applications (acquired by Adastra Group in 2017). He directed the R&D Center for AI and Computer Security at CISCO Systems and worked as a strategist in the CISCO Security CTO office. He is also a venture partner with Evolution Equity Partners, a VC firm specialized in cybersecurity. Michal Pechoucek co-founded the prg.ai initiative aiming to transform Prague into a world-class AI super hub. He sits on the board of several AI startups and as an early investor supports Czech AI ecosystem.
Michal graduated from University of Edinburgh and gained his PhD in Artificial Intelligence at CTU in Prague. He also worked as a visiting professor at the University of...

#nfl #dataanalytics
The NFL's Chief Data and Analytics Officer explains how the National Football League uses data and analytics to gain a competitive edge on and off the field. Learn about the key metrics the league tracks, how the data informs player evaluations and team strategy, and how the NFL is using technology to enhance the fan experience. Our guest co-host for this episode is QuHarrison Terry, Head of Growth Marketing at Mark Cuban Companies.
The conversation covers these topics:
► NFL data goals: improve fan experience, league operations, and team performance
► How the NFL uses data and analytics to personalize fan engagement and customer experience
► Privacy and consent: addressing customer concerns in data usage
► Governance and the democratization of data in the NFL
► Four pillars of the NFL’s data and analytics strategy
► Managing and leveraging data from the Super Bowl
► How the NFL uses data to understand how fans consume content
► The partner ecosystem for data and analytics technology in the NFL
► Decision-making based on data vs. intuition
► How the NFL manages change and disruption in the professional sports industry
► How the NFL uses data and analytics to improve team performance
► Generative AI and machine learning in the NFL
► How the NFL organizes data at scale
► Key data lessons: Repeatability, scalability, and governance
► Collecting data from the Super Bowl halftime show
► Future of data, analytics, and converged content in the NFL
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Read the full transcript and watch related episodes: https://www.cxotalk.com/episode/data-wins-inside-nfls-analytics-strategy
Paul Ballew currently serves as the National Football League’s Chief Data & Analytics Officer. Based in New York, Paul directs the League’s extensive data and analytics operations across the Game, Fans and Engagement. This mission is centered on ensuring that the NFL’s data assets and advanced analytic capabilities are leveraged to improve on-field football, overall fan experience and commercial outcomes for the League, clubs and partners. In advancing the Game, Paul and team support Football Operations’ critical workstreams and Player Health & Safety’s major initiatives, where the power of analytics is critically important to the future of the game. Paul and team are also leading the key initiatives on deepening fan engagement through enhanced fan modeling, predictive analytics, and the personalization of content and experiences.
Throughout his career Paul has built and led transformational data and analytic organizations across leading companies and industries. Previously he served as Chief Data and Analytics Officer for the Loblaw LTD the largest retailer, pharmaceutical provider and real estate investment trust in Canada. He was responsible for establishing the company’s data and analytics functions, data management operations, data science activities, and the Artificial Intelligence and Machine Learning Center of Excellence. Prior to Loblaw, Paul’s decades of experience in the field includes leading the formation of the data and analytics organizations at Ford Motor Company, Nationwide Financial, Dun and Bradstreet and General Motors. Paul’s experience in the data and analytics field is centered on turning insights into action through close collaboration with business partners with the goal of improving customer relationships and driving operational excellence.
QuHarrison Terry is Head of Growth Marketing at Mark Cuban Companies, a Dallas, Texas venture capital firm, where he advises and assists portfolio companies with their marketing strategies and objectives.
Previously, he led marketing at Redox, focusing on lead acquisition, new user experience, events, and content marketing. QuHarrison has been featured on CNN, Harvard Business Review,...

#ai #chatgpt #generativeai
In this episode of CXOTalk, the Chief Technology Officer of EY, who is Nicola Marini Bianzino, explains why generative AI is an arms race. We explore the defining characteristics of ChatGPT and similar tools, and the ethical and legal responsibilities of generative AI. Discover how generative AI will impact the future of work in the enterprise and the importance of ethical AI guidelines for technology developers.
The conversation includes these topics:
► Generative AI is an arms race
► Impact of generative AI on the enterprise
► Defining characteristics of ChatGPT
► Ethical and legal responsibilities of generative AI
► AI governance in the enterprise
► What jobs may generative AI make redundant?
► What is the impact of generative AI on knowledge management?
► How will generative AI change the future of work in the enterprise?
► Legal implications of generative AI
► “Why do tools such as Google Bard or ChatGPT hallucinate?”
► Challenges to enterprise adoption of AI tools
► Advice to business leaders on adopting AI in the enterprise
► Importance of ethical AI guidelines for technology developers in the enterprise
► Comparison of ChatGPT to low code, no code software tools
Nicola Morini Bianzino is EY's Global Chief Technology Officer, focused on bringing technology products to EY clients and positioning technology at the heart of the organization. With a 20-year track record of driving technology strategy innovation, he advises global clients on technology investment and their innovation agendas, providing industrialized technology products to meet their most pressing business needs.
An early AI pioneer, he wrote a thesis on the application of neural networks to business in 1997. Nicola is a high-profile global media commentator and contributes to MIT Sloan Management Review, Forbes and HBR. A thought leader on AI, machine learning, innovation and big data, he is passionate about extracting value from technology investment. He holds a master’s degree in Artificial Intelligence and Economics from the University of Florence.

#ai #aifailure
Join us on CXOTalk episode 778 as we delve into the complexities of AI failure with our guest, Iavor Bojinov, Assistant Professor at Harvard Business School, and QuHarrison Terry, Head of Growth Marketing at Mark Cuban Companies. In this episode, we explore the various types of AI failures that can occur, the causes behind them, and how they differ from traditional technology and IT projects.
Our experts also address the implications of these differences and distinguish between technology failures and human errors that can cause AI failures. In the second segment, we discuss solutions to address AI failure, including practical advice on how to avoid it in the first place. We also touch on the crucial ethical and privacy considerations associated with AI.
This is a must-watch episode for business leaders building an AI group within their organization. Our guests offer valuable insights into AI governance, which can help prevent failures and maximize opportunities.
The conversation includes these topics:
► Understanding AI operations and ai project failures
► Differences between AI projects and traditional technology or IT projects: AI is probabilistic
► Five steps of an AI project
--- Step 1: Project Selection - Choosing the Right Project
--- Step 2: Development - Building the Prototype
--- Step 3: Evaluation - Testing on Real People
--- Step 4: Deployment and Scaling - Going from Pilot to Full Launch
--- Step 5: Management - Monitoring and Preventing Failures
► The shift from rule-based expert systems to probabilistic AI
► Implementing AI in small businesses
► AI pilot projects should have direct implications on revenue
► Categories of AI failure
► Successful projects integrate AI into processes and business operations
► Data sets are a key difference between traditional IT projects and AI projects
► Digital Transformation vs. AI
► Ethical considerations of AI
► Principles of privacy by design
► Addressing bias in decision-making based on data
► Governance and regulation of AI
► Advice to business and technology leaders on preventing AI failures
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Read the complete transcript and watch more interviews: https://www.cxotalk.com/episode/why-ai-projects-fail-how-stop-it
Iavor Bojinov is an Assistant Professor of Business Administration and the Richard Hodgson Fellow at Harvard Business School. He is the co-PI of the AI and Data Science Operations Lab and a faculty affiliate in the Department of Statistics at Harvard University and the Harvard Data Science Initiative. His research and writings center on data science strategy and operations, aiming to understand how companies should overcome the methodological and operational challenges presented by the novel applications of AI. His work has been published in top academic journals such as Annals of Applied Statistics, Biometrika, The Journal of the American Statistical Association, Quantitative Economics, Management Science, and Science, and has been cited in Forbes, The New York Times, The Washingon Post, and Reuters, among other outlets.
Professor Bojinov is also the co-creator of the first-year required MBA course “Data Science for Managers” and has previously taught the “Competing in the Age of AI” and “Technology and Operations Management” courses. Before joining Harvard Business School, Professor Bojinov worked as a data scientist leading the causal inference effort within the Applied Research Group at LinkedIn. He holds a Ph.D. and an MA in Statistics from Harvard and an MSci in Mathematics from King’s College London.
QuHarrison Terry is Head of Growth Marketing at Mark Cuban Companies, a Dallas, Texas venture capital firm, where he advises and assists portfolio companies with their marketing strategies and objectives.
Previously, he led marketing at...

On CXOTalk episode 777, we speak with Kurt John, the Chief Security Officer of Expedia Group, who discussed managing and leading cybersecurity in 2023. From building a decision support structure to explaining the value of security to boards of directors, this interview takes a deep dive into the life of a modern Chief Security Officer.
We are joined by guest co-host, QuHarrison Terry, the Chief Growth Officer at Mark Cuban Companies.
Don't miss this opportunity to gain valuable insights into the future of cybersecurity and hear from a seasoned leader in the field.
Here are the topics covered in this discussion:
On Expedia Group and Kurt John's role
On complexity in the security landscape
On technical threats to consider
On security for travelers, partners, and employees
On security in the Expedia Group brands and ecosystem
On building a decision support structure for security
On defining boundaries of the security ecosystem
On security and privacy as market differentiators
On threat intelligence and business outcomes
On preventing fraud in e-commerce with the security value chain
On information sharing to prevent fraud
On explaining the value of security to boards of directors
On investments in security and cost savings
On companies adopting GDPR as a standard
On the imperfect nature of security systems
On the importance of security post-mortems
On advice for new CISOs
On the role of AI in security
On the impact of security and trust in the travel industry
Kurt John is Global Chief Security Officer at the Expedia Group, where he overseas governance and execution of cybersecurity, physical security and privacy. He is also a non-resident senior fellow at the Atlantic Council where he helps to think through the most relevant Cybersecurity challenges at the intersection of geopolitics, business and security facing the United States and its allies. This includes making recommendations for policy makers to help bolster the security of our way of life. Kurt holds multiple board positions in private and public organizations including Virginia Innovation Partnership Authority – the Commonwealth’s initiative to drive innovation of the tech economy.
QuHarrison Terry is a growth marketer at Mark Cuban Companies, a Dallas, Texas venture capital firm, where he advises and assists portfolio companies with their marketing strategies and objectives. Previously, he led marketing at Redox, focusing on lead acquisition, new user experience, events, and content marketing. QuHarrison has been featured on CNN, Harvard Business Review, WIRED, Forbes and is the co-host of CNBC’s Primetime Series – No Retreat: Business Bootcamp. As a speaker and moderator QuHarrison has presented at CES, TEDx, Techsylvania in Romania, Persol Holdings in Tokyo, SXSW in Austin, TX, and more. QuHarrison is a 4x recipient of Linkedin’s top voices in Technology award.

#cybersecurity #ciso #ai #aisecurity
In this exclusive interview, NVIDIA's Chief Security Officer, David Reber, discusses the complexity of the company's product line and its impact on security. He explains why NVIDIA’s complex hardware and software product line demands a diverse portfolio of security solutions. Reber highlights the role of AI and machine learning in security and data protection, and explains how AI changes cybersecurity.
Reber presents an ecosystem view of security, where knowledge and trust play a crucial role in protecting against breaches.
The conversation also sheds light on the interlinked relationship between data protection and protecting against breaches, the importance of monitoring the data supply chain, and customer experience in security. Reber concludes by stressing the importance of innovation and how security teams should focus on enabling innovation instead of stopping it.
The conversation includes these topics:
► How does NVIDIA's product line make security complex?
► How does NVIDIA manage security risk?
► What is the impact of AI and machine learning on security and data protection?
► What is NVIDIA’s security ecosystem and why is it important?
► Why are technology, education and training all essential to maintain cybersecurity?
► How does AI make security a data problem?
► “How do you protect distributed data sets?”
► “It's AI until you trust it. Then it's automation.”
► How do you balance security and protection against employee productivity?
► What does customer experience mean in security?
► What is the role of AI governance in security programs?
► How does NVIDIA integrate security into product development?
► How do we handle negative consequences of autonomous algorithmic systems?
► Why do security breaches happen so often?
► Advice to business leaders on AI and security?
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See related conversations and transcripts: https://www.cxotalk.com/episode/cybersecurity-strategy-2023
David Reber serves as the chief security officer and head of product security at NVIDIA. Before NVIDIA, Reber served over a decade as a senior staff officer in the US Intelligence Community. He held the position of senior director of security for Nutanix Frame and Government Cloud Services. His background spans enterprise secure cloud service architecture, advanced cyber operations, offensive security research, global enterprise security, secure mobile tactical communications and insider threat. Reber holds a bachelor’s degree in Information Sciences and Technology from the Pennsylvania State University.