
Hosted by Michael Krigsman · EN

Prashant Mehrotra, Chief AI Officer at US Bank, discusses how the bank evaluates AI initiatives and scales projects from pilot to production. He explains how to build customer trust through responsible AI design and prepare for the future of autonomous banking in CXOTalk episode 906. This conversation covers key aspects of AI in business and AI implementation within a large banking institution.=======Please support our sponsor Emeritus: Explore executive education programs from Emeritus, in collaboration with top universities: https://cxotalk.partner.emeritus.org/=======Key topics discussed:→ Why AI should transform processes, not simply make them more efficient→ How U.S. Bank cut governance approval times in half by engaging risk partners early→ The critical role of baselines in determining whether AI pilots scale or fail→ Why "AI without data is a hallucination" and how the bank organizes Digital, Data, and AI under one leader→ Building AI literacy across the entire workforce, from executives to frontline associates→ The shift from building models to leveraging external foundation models at scale→ Balancing personalization with privacy in customer interactionsMehrotra emphasizes that the client remains the "North Star" for every AI initiative. He offers practical guidance on metrics, funding pilots through to production, and creating repeatable governance processes that accelerate rather than slow down AI deployment.🔷 Show notes: https://www.cxotalk.com/episode/u-s-banks-chief-ai-officer-on-strategy-governance-and-scaling-ai🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk📍 CHAPTERS:00:00 Introduction: AI at U.S. Bank00:30 How AI Ideas Get Evaluated and Funded02:24 The Chief AI Officer Role: The 4 E's Framework05:21 AI as a Transformative Force, Not Just Technology09:05 Real-World AI Impact: Customer Service and Developer Tools11:15 Measuring AI Success: Metrics That Matter15:31 Why 95% of AI Pilots Fail: The Importance of Baselines17:05 AI and Sustainability Goals18:01 Managing Risk and Governance at Scale22:46 Moving from Pilots to Production25:54 Aligning AI Strategy with Business Objectives28:39 Building an AI-Ready Workforce: Skills and Education32:12 How AI Differs from ERP and Traditional Technology Rollouts35:05 Regulatory Compliance in AI-Driven Customer Outreach37:16 Leadership Structure and Cross-Functional Collaboration39:07 Data as the Foundation of AI42:20 Technology Platforms and Vendor Partnerships43:24 Build vs. Buy: Leveraging Foundation Models45:56 AI as Strategic Investment: Creating Durable Value47:58 Personalization Without Being Invasive50:14 Conclusion#AI #ArtificialIntelligence #Banking #DigitalTransformation #EnterpriseAI #ChiefAIOfficer #Leadership #CXOTalk

An AI chatbot that hallucinates is annoying. A robot or physical AI that hallucinates can cause injury or death. Burkhard Boeckem, CTO of Hexagon, explains why the bar for physical AI is fundamentally higher than digital AI, and what it takes to deploy robots that actually work in the real world. All this in CXOTalk episode 905.\In this conversation, we cover:→ What physical AI actually means (and why it's different from the AI you use every day)→ Why digital twins are the foundation for training robots safely→ The gap between impressive YouTube demos and robots that create economic value→ Functional safety: the "big theme" coming in 2026→ Cloud vs. edge computing for autonomous systems→ Where robotics deployments fail (hint: it's not the technology)→ What boards get wrong about robotics investments→ Timeline: when will we see real autonomy?Key insight: "Many boards overestimate the speed and underestimate the system work. It's not a software rollout—it's a complex engineering system."Burkhard's prediction: Autonomy in constrained environments is 1-3 years away. The "butler humanoid" that does everything? Still a ways off.⏱️ CHAPTERS00:00 Introduction: What is Physical AI?02:06 Digital Twins as the Foundation03:23 Understanding Ground Truth06:42 Digital AI vs. Physical AI: Safety and Reliability08:47 Real-World Business Applications10:48 Security and Functional Safety14:57 CES Announcements and Industry State20:01 Cloud vs. Edge Computing in Robotics22:32 Regulations for Physical AI25:10 Addressing Bias in Physical AI27:51 Timeline to Autonomy31:46 Creating Economic Value Beyond Demos33:26 Where Robotics Deployments Fail35:59 The Future of Humanoid Form Factors38:38 The Humanoid as User Interface40:06 Digital Twins for Robotics42:36 Fleet Collaboration and Swarm Intelligence43:46 What Boards Get Wrong About Robotics45:18 The Future of Work46:32 Responsible Deployment47:15 Manager AIs for Worker AIs?48:16 Looking Ahead: Next 2-3 Years49:37 Core Technical Challenges————————————————🔷 Full episode, show notes and resources: https://www.cxotalk.com/episode/google-clouds-cto-inside-the-ai-strategy🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk————————————————About the Guest:Burkhard Boeckem is Chief Technology Officer at Hexagon, a global leader in digital reality solutions combining sensor, software, and autonomous technologies.About CXOTalk:CXOTalk features direct, unfiltered conversations with the world's top business and technology leaders. No fluff, no PR speak—just honest discussion about what's actually working (and what isn't).#PhysicalAI #Robotics #Humanoids #DigitalTwin #AI #AutonomousSystems #CXOTalk #EnterpriseAI #Manufacturing #FutureOfWork

Nation-states are already harvesting your encrypted data, betting they'll crack it when quantum computers mature. It's happening now. In CXOTalk episode 904, Anand Oswal, Executive Vice President of Network Security at Palo Alto Networks, explains what business leaders need to understand about quantum security and how to address it. The impact of quantum computing on cybersecurity will be huge.Key timelines discussed:-- Cryptographically relevant quantum computers expected by end of this decade-- RSA and ECC algorithms deprecated by 2030, disallowed by 2035-- Enterprise cryptographic migrations typically take 5-10 years🔷 Show notes: https://www.cxotalk.com/episode/cybersecurity-and-quantum-computing-a-readiness-guide🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalkChapters:00:00 Introduction00:36 What is quantum computing?01:17 The core security threat02:29 Customer awareness of quantum risk02:57 Timeline: When will quantum arrive?03:53 Implications for security leaders05:35 Compliance timelines06:24 Business risk explained07:52 How encryption works today09:22 Harvest now, decrypt later attacks09:57 How the industry is preparing12:27 Pillar 1: Discovery and visibility14:26 Pillar 2: Protect16:29 Pillar 3: Accelerate17:40 The role of AI18:10 Talent and skills19:31 Practical steps for quantum readiness20:43 What leaders should do now

Most enterprises aren't ready for agentic AI, but ChristianKleinerman, Snowflake's EVP of Product, shares practical advice on what it takes to succeed: data readiness, governance, AI economics, and workforcestrategy.In this episode of CXOTalk, Kleinerman draws on 25 years ofenterprise technology experience to give leaders a realistic roadmap for AI adoption. He explains how to evaluate AI vendors in hours instead of months, which use cases deliver measurable ROI today, and how to build the data foundation that makes AI agents effective.💡 KEY TOPICS DISCUSSED:-- How to assess AI agent capabilities through rapid iteration and low-cost experimentation-- The data prerequisites that determine whether AI initiatives succeed-- Which use cases deliver orders-of-magnitude productivity gains right now-- How coding assistants create value for non-technical roles like product managers and sales engineers-- Why the economics of technology evaluation have fundamentally shifted in your favor-- A practical framework for measuring ROI when outputs are non-deterministic-- How to structure small rollouts that scale based on proven success 🔷 Show notes: www.cxotalk.com/episode/snowflakes-evp-of-product-talks-hard-truths-on-agentic-ai-readiness-governance-and-ai-economics🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk 📍 CHAPTERS:00:00 ☁️ Introduction to AI Data Cloud and Snowflake's Role01:15 🤖 Capabilities and Use Cases of Enterprise-Grade AI Agents03:55 🤖 Exploring AI Models and Their Potential04:55 ⚙️ Challenges and Prerequisites for AI Adoption09:43 💡 Practical Use Cases and Evaluating AI Solutions18:39 💡 The Evolution of AI in Enterprise Technology21:42 🤖 Agents and Interoperability in AI25:06 📊 Data Challenges and the Role of AI31:39 ⚙️ Challenges in Scaling AI from Proof of Concept to Production33:48 📊 Governance and ROI in AI Implementation38:37 🤖 AI's Impact on Jobs and Recommendations for Leaders About CXOTalk:CXOTalk presents intimate conversations with the world's top business and technology leaders. No scripts. No rehearsals. Real insights.#aitransformation #ArtificialIntelligence #AgenticAI#EnterpriseAI #DataGovernance #Snowflake #CXOTalk #DigitalTransformation#AIStrategy #DataQuality #MachineLearning #BusinessLeadership

Can a digital replica of your heart save your life? In CXOTalk episode 902, Michael Krigsman talks with Dr. Joe Alexander, Director of the Medical and Health Informatics Lab at NTT Research, to explore the revolutionary world of Bio-Digital Twins.Discover how researchers are using mathematical modeling to build "computational replicas" of the human cardiovascular system. Dr. Alexander explains how these digital twins can predict heart failure, automate critical care in the ICU through closed-loop intervention systems, and pave the way for a future where personalized medicine is accessible to everyone.We dive deep into the science of treating the heart as an electrical circuit, the ethics of AI in medicine, and the "moonshot" goal of eliminating cardiovascular disease..🔷 Show notes: https://www.cxotalk.com/episode/cardiac-digital-twins-inside-the-research-lab🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk💡 KEY TOPICS DISCUSSED:Bio-Digital Twins: How digital replicas of organs allow doctors to test treatments virtually before applying them physically.Closed-Loop Systems: The development of autonomous systems that can regulate heart medication beat-by-beat to minimize oxygen consumption and improve recovery.The Physics of the Heart: How Dr. Alexander uses resistors, capacitors, and diodes to model blood flow and pressure.The Future of MedTech: Moving from acute care (ICU) to managing chronic heart failure with wearable technology.👥 ABOUT THE GUEST: Dr. Joe Alexander is the Director of the Medical and Health Informatics Lab at NTT Research. With a unique background as a chemical engineer and a burn survivor who later attended Johns Hopkins for his MD/PhD, Dr. Alexander is leading "moonshot" research into bio-digital twins to transform cardiovascular care.📍 CHAPTERS:0:00 - Introduction: What is a Cardiac Digital Twin? 2:20 - The Aviation Analogy: Predictive Maintenance for the Body 4:54 - The "Electrical Analog" Model: Viewing the Heart as a Circuit 6:42 - Autonomous Closed-Loop Intervention: Automating ICU Care 12:04 - How a Digital Twin is Built (Population vs. Patient Data) 17:09 - Animal Trials & Validating the Technology 22:11 - Ethics & Safety: Can We Trust AI with Life-and-Death Decisions? 29:03 - Causal vs. Black Box AI: Why Physiology Matters 44:58 - The "Bionic" Approach: Interdisciplinary Teams 50:32 - Health Equity & The Quintuple Aims of Healthcare#DigitalTwins #Cardiology #MedTech #AIinHealthcare #NTTResearch #FutureOfMedicine #HeartHealth #CXOTalk

How do you turn a 150-year-old industrial giant into an agile, AI-first organization?=======Please support our sponsor Emeritus:Explore executive education programs from Emeritus, in collaboration with top universities: https://cxotalk.partner.emeritus.org/=======For Hexion CEO Michael Lefenfeld, the answer isn't just about technology, but about culture, safety, and rethinking value. In episode 901 of CXOTalk, Lefenfeld details his strategy for integrating AI across every level of a billion-dollar manufacturing enterprise, from the R&D lab to the factory floor.Michael Krigsman and Michael Lefenfeld discuss the practical realities of moving beyond "pilot purgatory." They dive into how to manage workforce anxiety (the "carrot vs. stick" approach), leverage Private Equity for long-term innovation, and maintain strict safety guardrails while moving fast.If you are a leader navigating the complexities of digital transformation, this interview offers a concrete roadmap for driving growth without sacrificing your company's heritage.📋 DISCUSSION TOPICS:-- The AI-First Culture: Why Hexion incentivizes AI adoption rather than forcing it.-- Workforce Strategy: How to upskill employees and ensure AI is a "partner," not a "job taker."-- Operational Excellence: Using AI to achieve the "Golden Batch"—reducing waste and energy usage.-- The Private Equity Advantage: How ownership structure impacts long-term tech investment.-- Strategic Partnerships: Using data to deepen customer intimacy and escape the commodity trap.⏱️ TIMESTAMPS00:00 🏭 Introduction to Hexion and Its Role in Everyday Life01:28 🤖 Hexion's Integration of AI Across Operations03:34 🚀 AI as a Tool for Growth and Empowerment at Hexion13:47 🤖 Leadership Philosophy and AI Integration at Hexion16:44 🛡️ AI's Role in Safety and Decision-Making20:25 ⚙️ AI-Driven Efficiency and Learning in Manufacturing26:54 💉 Personal Experience with Diabetes and Continuous Glucose Monitoring28:30 🤖 AI's Role in Customer Service and Business Operations32:53 🌍 AI Learning, Ecosystem Collaboration, and Organizational Growth38:32 🤖 Using AI to Enhance Manufacturing and Investment Decisions40:04 🏢 Hexion's AI-First Strategy and Customer-Centric Approach46:32 💼 Private Equity's Role in AI Investment and Long-Term Growth50:20 🧪 Optimizing Products with Data and Batch Chemistry51:44 🤖 AI's Impact on Business Models and Lessons Learned53:30 🚀 Advice for AI Implementation and Closing Remarks🎯 FEATURED GUESTMichael Lefenfeld is the CEO of Hexion Inc. and a serial entrepreneur with a passion for revitalizing legacy industries.-- He holds 100+ patents and was named a World Economic Forum Young Global Leader.-- Michael specializes in bridging the gap between deep science (chemistry/physics) and practical business strategy (AI/profitability).-- Previously served as CEO of Cyanco and SiGNa Chemistry.📚 RESOURCES🔷 Show notes:https://www.cxotalk.com/episode/ai-first-rewiring-a-150-year-old-industrial-manufacturer🔷 Newsletter: www.cxotalk.com/subscribe🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk Subscribe to CXOTalk newsletter: https://www.cxotalk.com/newsletter🎙️ ABOUT CXOTALKCXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 901 | Recorded November 21, 2025

Join Michael Krigsman on CXOTalk as leading CIO advisors Tim Crawford and Isaac Sacolick unpack actionable strategies for Chief Information Officers to thrive in the AI era. This episode dives into critical challenges and opportunities, offering insights on:Governance & Data Strategy: Prioritize robust AI governance frameworks and invest in clean, scalable data to drive reliable innovation. Sacolick stresses early integration of compliance and ethics, while Crawford underscores the need for a holistic data strategy to avoid “garbage in, garbage out” pitfalls.Change Management: Proactively educate teams and collaborate with HR (CHRO) to secure training budgets, empowering employees to adapt as AI reshapes workflows in IT, sales, and customer support.Innovation vs. Efficiency: Focus on AI initiatives that transform business models and customer experiences—not just productivity gains. Align pilots with clear OKRs, balancing agility with measurable outcomes to escape “pilot purgatory.”Collaboration & Risk Mitigation: Engage legal and audit teams early, building cross-functional councils to navigate regulatory demands and ethical AI use.Cultural Shifts: Embrace automation and upskilling, balancing Shadow IT’s creativity with security guardrails to fast-track innovation responsibly.This discussion is perfect for IT leaders navigating digital transformation and equips CIOs to harness AI’s disruptive potential. Like, subscribe, and share your questions in the comments to join the conversation shaping the future of enterprise AI!🔔 Don’t forget to like, subscribe, and share for more thought-provoking conversations with top industry leaders.🔷 Newsletter: www.cxotalk.com/subscribe🔷 Read the summary and key points: https://www.cxotalk.com/episode/cio-ai-lessons-from-early-adopters-in-the-enterprise🔷 LinkedIn: www.linkedin.com/company/cxotalk🔷 Twitter: twitter.com/cxotalk

In CXOTalk Episode 868, host Michael Krigsman interviews Praveen Akkiraju, Managing Director at Insight Partners, to explore the world of agentic AI.Praveen explains AI agents, their reliance on large language models (LLMs), and how they differ from traditional applications. He discusses AI agents' current state and reliability, explains the layered architecture involving user interfaces, reasoning, and dynamic querying, and highlights the importance of evaluation loops and human-in-the-loop systems for consistent output.The episode also discusses practical use cases in various sectors like coding, customer support, and IT operations. It explores the complex economics, security considerations, and future trajectory of AI agents in both startups and large enterprises.🔔 Don’t forget to like, subscribe, and share for more thought-provoking conversations with top industry leaders.🔷Newsletter:www.cxotalk.com/subscribe🔷Read the summary and key points: https://www.cxotalk.com/episode/agentic-ai-what-is-it-does-it-matter-part-2🔷LinkedIn: www.linkedin.com/company/cxotalk🔷Twitter:twitter.com/cxotalkChapters00:00 Introduction to AI Agents00:37 Understanding AI Agents01:26 Role of Large Language Models (LLMs)02:38 Layers of AI Agents06:19 Current State and Challenges07:09 Spectrum of AI Agents09:42 Design Considerations for AI Agents16:53 Human Element in AI18:03 Training and Evaluation of AI Agents23:50 Addressing Bias in AI26:50 Navigating Constant Change in Business28:08 AI's Impact on Fortune 500 Companies29:21 The Evolution and Integration of Large Language Models30:33 Introducing the AI Agent Market Map34:20 Key Use Cases for AI Agents40:19 Economics of AI Agents43:52 Security Concerns with AI Agents47:43 Future of AI Agents and Their Evaluation50:41 Final Thoughts and Farewell

In CXOTalk episode 867, Princeton professor Arvind Narayanan, co-author of AI Snake Oil, reveals why many AI products fail to deliver on their promises and how leaders can distinguish hype-driven solutions from those that create value. Exploring the landscape of AI advancements, deceptions, and limitations, Narayanan explains how to detect genuine AI innovations from overhyped and potentially harmful applications. We discuss real-world examples, ethical concerns, and the role of policy and regulation in mitigating AI snake oil. Tune in to learn actionable insights for consumers and businesses and explore how AI reshapes industries while posing unique challenges and opportunities. #enterpriseai #cxotalk #aihype #aiethics 🔔 Don’t forget to like, subscribe, and share for more thought-provoking conversations with top industry leaders. 🔷 Newsletter: www.cxotalk.com/subscribe 🔷 Read the summary and key points: https://www.cxotalk.com/episode/ai-snake-oil-exposed-princeton-researcher-busts-ai-hype 🔷 LinkedIn: www.linkedin.com/company/cxotalk 🔷 Twitter: twitter.com/cxotalk 00:00 Introduction to AI Snake Oil 01:26 Deceptive AI Practices 03:16 Evaluating AI Products 04:38 Predictive vs Generative AI 06:06 Positive Applications of AI 09:30 Consumer Rights and AI 19:07 AI and Privacy Concerns 24:41 AI in Education 28:55 Integrating Causal Inference in Machine Learning 29:21 Misuse of Student Dropout Prediction Software 30:59 Academia's Role in AI Accountability 34:48 Hype and Reality of AI Agents 39:08 Superintelligence and Human-AI Collaboration 42:10 Institutional Flaws and AI Snake Oil 45:00 Policy and Regulation of AI 55:02 Creating AI-Ready Organizations 57:06 Conclusion and Final Thoughts

How are boards of directors navigating the complex world of enterprise AI and AI adoption? Join Michael Krigsman in conversation with independent board member Adriana Karaboutis (former technology leader at Dell, Biogen, National Grid) as they dissect the current state of AI adoption across industries. Discover the key drivers and roadblocks, the tension between innovation and risk, and what to do when board members lack tech understanding. This is a must-watch for CEOs, CIOs, and anyone who shapes their organization's AI strategy. 🔔 Don’t forget to like, subscribe, and share for more thought-provoking conversations with top industry leaders. 🔷 Newsletter: www.cxotalk.com/subscribe 🔷 Read the summary and key points: https://www.cxotalk.com/episode/enterprise-ai-adoption-a-board-members-perspective 🔷 LinkedIn: www.linkedin.com/company/cxotalk 🔷 Twitter: twitter.com/cxotalk #enterpriseai #boardofdirectors #cxotalk #aileadership #aiadoption