CXOTalk

Michael Krigsman

C-Suite Conversations on AI & Strategy. Join industry analyst Michael Krigsman for unfiltered discussions with the leaders shaping the future of business. From AI implementation to digital transformation, hear directly from CIOs, CTOs, CEOs, and more from the world's largest companies. No scripts. No PR fluff. Just real questions from our live audience and honest answers from the C-Suite. Want to participate? Get invited to the next live show: https://www.cxotalk.com/subscribe

  1. Governing AI Agents at Scale: Identity, Scope, and Observability (with Glean and Cvent) | CXOTalk #914

    5 PV SITTEN

    Governing AI Agents at Scale: Identity, Scope, and Observability (with Glean and Cvent) | CXOTalk #914

    Pradeep Mannakkara (CIO) and Ben Mayrides (CISO) of Cvent explain how they govern AI agents at scale across their 5,500-person organization, which now has over 6,000 agents in production. In this fireside chat recorded at a Glean event in NYC, they walk through the AWARE framework developed by Glean's Work AI Institute with Databricks and Palo Alto Networks, and describe the practical tradeoffs of moving fast while managing risk. The conversation covers agent identity, observability, cultural adoption, CIO/CISO dynamics, and what enterprise-grade AI governance looks like in practice. You'll discover: ✅ Why traditional IAM and observability controls fail in agentic architectures where agents reason, delegate, and act autonomously ✅ How Cvent deliberately encouraged 6,000 agent creations to build AI fluency before layering in moderation and metrics ✅ The AWARE framework's five pillars: identity, context, guardrails, risk scoring, and ecosystem observability ✅ Why "risk is too high" is never the final answer, only "risk is too high for now" ✅ How Cvent filters AI demand through ROI gates before projects reach security review ✅ Why replacing gut-feel security objections with shared criteria moves the CISO from gatekeeper to business partner ✅ The sandbox-first approach that separates experimentation from production deployment ✅ Why SOC 2 control criteria for AI agents are likely within 18 to 24 months ⏱️ TIMESTAMPS 0:00 Introduction and the AWARE framework 0:34 Core challenges of agent governance 2:43 What agents do for us and to us 4:36 Applying the AWARE framework in practice 7:09 Choosing platforms with built-in controls 9:25 Making governance a cultural shift 11:51 Earning trust through deliberate risk decisions 13:49 Replacing gut reactions with shared criteria 15:20 Managing the CIO/CISO tension 18:54 Shared language for hard tradeoffs 22:01 Go/no-go decisions are never one and done 24:48 Advice for putting AWARE into practice 26:38 Scaling to 6,000 agents 🔔 Subscribe to CXOTalk and hit the bell for new episodes every week. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Show notes: https://www.cxotalk.com/episode/ai-agent-governance-inside-the-glean-aware-framework-with-cvents-cio-and-ciso 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 913 | Recorded March 10, 2026 #CXOTalk #AIGovernance #AIAgents #CISO #CIO #EnterpriseAI #AgenticAI #AWAREFramework #AICompliance #CyberSecurity

    30 min
  2. Deloitte CTO: Advice to CIOs on Enterprise AI | CXOTalk #912

    5 PV SITTEN

    Deloitte CTO: Advice to CIOs on Enterprise AI | CXOTalk #912

    Bill Briggs, CTO of Deloitte, shares findings and advice for Chief Information Officers (CIOs) from the 2026 TechTrends report: 93% of enterprise AI spending goes to technology and tooling, while only 7% of funding goes to culture, change management, and learning. Briggs explains why this imbalance drives failed pilots and runaway costs, and what leaders should do about it. 📌 KEY POINTS -- Your AI spending ratio is upside down Enterprises allocate 93% of AI budgets to technology and tooling, while devoting only 7% to culture, change management, and workforce learning. Leaders who invest first in simplifying processes from first principles, before adding AI, consistently produce the strongest returns. -- Frontline trust in AI sits at 6.7%, and it's costing you C-suite executives report 70% trust in AI, while entry-level workers register only 6.7%, creating an inverted value chain where the people closest to broken processes stay silent. Organizations can close this gap by declaring intentions upfront and making it safe for workers to experiment openly, rather than hiding behind personal AI tools. -- Measure outcomes, not agent headcount Companies broadcasting "tens of thousands of agents" substitute effort metrics for evidence of value; if real business results existed, those numbers would be the headline. Tie every AI initiative to specific operational and financial metrics and kill pilots that result in press releases but no movement that benefits shareholders and employees. YOU'LL DISCOVER: ✅ Why applying AI to an inefficient process "weaponizes inefficiency" and drives costs through the roof ✅ How trust in AI drops from 70% at the C-suite to 6.7% at the frontline, and why this inverted gap blocks real value ✅ Why hospitals are putting robots on org charts and holding naming competitions for AI coworkers ✅ The specific governance frameworks enterprises need for a workforce of AI agents (modeled on the HR lifecycle) ✅ How inference costs create sticker shock and when to shift from cloud to dedicated hardware ✅ Why Briggs says the CIO's most important skill is now storytelling, not systems architecture ✅ What "success theater" looks like and how to spot it in your own organization ✅ Why 99% of enterprises are fundamentally transforming their IT organizations right now ⏱️ TIMESTAMPS 0:00 Deloitte's CTO: Spend less on technology 0:20 The 93/7 AI spending imbalance 3:59 Why a technologist argues against more tech investment 5:43 State of enterprise AI: 30% reach production scale 8:05 Treating AI deployment like onboarding a coworker 10:29 AI itself means nothing without culture change 13:14 Redesigning work from first principles 16:51 Quantifying AI financial risk and token economics 20:03 Inference costs, shadow IT, and runaway bills 23:14 The trust gap: 70% at the top, 6.7% at the bottom 26:47 Governing a workforce of AI agents 32:15 Success theater vs. real business metrics 37:37 Responsible deployment, guardrails, and OpenClaw lessons 42:37 How AI is transforming the CIO role 46:05 Why storytelling is the CIO's most important skill 50:02 Human times machine: the essential equation 🔔 SUBSCRIBE for weekly conversations with global technology and business leaders who speak candidly about the strategies behind AI, transformation, and organizational change. 📩 Get notified about upcoming episodes and exclusive insights: https://newsletter.cxotalk.com 💬 Read show notes and get the transcript: https://www.cxotalk.com/episode/deloitte-cto-on-the-ai-investment-trap-cio-advisory-2026 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 912 | Recorded March 15, 2026 #CXOTalk #AIStrategy #EnterpriseAI #DigitalTransformation #Deloitte #CIO #AIGovernance #TechTrends2026 #AIInvestment #AgenticAI

    53 min
  3. US Healthcare System Punishes Prevention: Former CDC Director | CXOTalk #911

    8.3.

    US Healthcare System Punishes Prevention: Former CDC Director | CXOTalk #911

    A healthcare CEO once told former CDC Director, Dr. Tom Frieden, he had "a fiduciary responsibility not to provide good diabetes care" because the ROI takes 7 years and patients leave after 4. That's not a villain talking. That's our system working exactly as designed, without preventive medicine.Dr. Tom Frieden ran the CDC under President Obama, served as New York City Health Commissioner, and now leads Resolve to Save Lives, a global nonprofit working in 50+ countries. His new book, The Formula for Better Health, lays out why the U.S. spends $4.5 trillion a year on healthcare, gets the most basic things right less than half the time, and what it takes to fix it.You'll discover:✅ Why preventing heart attacks actually costs providers money, and the one system (Kaiser Permanente) where that's flipped✅ How 100 million Americans lack primary care, and why tripling primary care spending could reduce total Medicare costs✅ The "See, Believe, Create" formula that has already saved millions of lives globally✅ Why Dr. Frieden says "it is now malpractice not to care for a patient with an AI as part of the team"✅ The 7-1-7 accountability system now used by 50 countries to find and stop disease outbreaks✅ How a $5 copay on preventive medication measurably increases heart attacks and strokes✅ The six specific health measures Dr. Frieden says matter most (with exact target numbers)✅ Why misinformation is the most lethal health threat: "a fire hose of falsehoods driven by the monetization of misinformation"⏱️ TIMESTAMPS0:00 A healthcare CEO's shocking confession about diabetes care0:45 Why the U.S. healthcare system is designed to fail2:10 Primary care: the most neglected piece of American healthcare4:28 Economic incentives that punish prevention6:43 Kaiser Permanente's capitation model and why it works9:44 CVS, concierge medicine, and halfway solutions13:20 Who can fix a system where no one is accountable?14:49 The "See, Believe, Create" formula explained19:08 Measles outbreaks and the misinformation crisis24:05 AI in healthcare: enormous potential, bad judgment34:18 What's happened to the CDC and vaccine infrastructure40:56 The 7-1-7 outbreak accountability system44:39 Why other countries get better results for less money47:39 The Big 6: personal health targets everyone should know53:11 Dr. Frieden's prescription for policymakers and healthcare leaders🔔 Subscribe and hit the bell so you don't miss conversations with world-class leaders.📩 Join our newsletter: https://newsletter.cxotalk.com💬 Read show notes: https://www.cxotalk.com/episode/former-cdc-director-how-to-fix-healthcare🎙️ ABOUT CXOTALKCXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman.Episode 911 | Recorded March 8, 2026#CXOTalk #Healthcare #DrTomFrieden #PublicHealth #HealthcareReform #PrimaryCare #AIinHealthcare #CDC #PreventiveMedicine #ResolveToSaveLives

    57 min
  4. SANS Institute: AI Agents Are an Attack Surface. Does your CISO know? | CXOTalk #910

    3.3.

    SANS Institute: AI Agents Are an Attack Surface. Does your CISO know? | CXOTalk #910

    Cyberattacks that used to take months now take minutes. And your defenders still can't keep up. Rob T. Lee, Chief AI Officer of the SANS Institute, and David A. Bray, Chair of the Accelerator at the Stimson Center, explain why AI gives attackers a structural advantage. Attackers don't care if their AI breaks something. Your security team can't take that risk. That asymmetry changes everything. ✅ You'll discover: ✅ Why attackers will always remove the human in the loop faster than defenders can, and the risk calculus that creates ✅ How "death by 1,000 cuts" works: $300 per person times 10,000 targets via SIM farms equals a single ransomware payout ✅ The federated learning approach that lets organizations share threat intelligence without exposing their own data or vulnerabilities ✅ Why hackers are exploiting AI hallucinations by writing real code libraries for packages that models reliably hallucinate ✅ How to identify the right cybersecurity talent: hire for learning velocity and the "fiddling mindset," not static AI credentials ✅ Why boards must stop treating cybersecurity as prevention and start rewarding rapid detection and response ✅ The pre-compute vs. post-compute distinction for AI agent safety that most executives are missing entirely ✅ When autonomous cyber defense will actually be viable (hint: think pilotless planes and robotic surgeons) ⏱️ TIMESTAMPS 0:00 AI has made "death by 1,000 cuts" attacks scalable 0:39 Why the AI security lifecycle matters now 2:27 Military history lessons for cyber defense strategy 5:00 Federated learning: sharing threat intelligence without exposing data 6:48 How incident response must evolve for AI-speed attacks 8:05 The human-in-the-loop dilemma: defenders vs. attackers 11:37 Distraction attacks: coordinated multi-target campaigns 15:37 Autonomous agents as a new attack surface 19:44 Hackers weaponizing AI hallucinations against developers 22:23 Development velocity as the real "swarm" capability 24:20 Perverse incentives: why stopping an attack still counts as failure 27:09 Your personal attack surface grew from 3 devices to 50 31:22 Protecting AI tool chains from becoming prime targets 34:25 Hackathons as the future of cybersecurity hiring 36:53 Patterns of life: instrumenting your enterprise for anomaly detection 38:18 When will we trust AI defenders without human oversight? 41:09 Pre-compute vs. post-compute: where AI agent safety rules must live 46:45 AI trust, hallucinations, and prompt injection as information warfare 51:42 Building security culture: leadership, not blame 🔔 Subscribe so you never miss a conversation with the world's top business and technology leaders. 📩 Get notified about upcoming shows. Sign up for the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Check the summary and full transcript for episode 910: https://www.cxotalk.com/episode/the-ai-attack-lifecycle-digital-forensics-and-intelligent-threats 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. #CXOTalk #Cybersecurity #AIThreats #AutonomousAgents #CISO #SANS #CyberDefense #IncidentResponse #AIStrategy #EnterpriseSecurity

    55 min
  5. CIO Agenda 2026: The Enterprise AI Promise | CXOTalk #909

    16.2.

    CIO Agenda 2026: The Enterprise AI Promise | CXOTalk #909

    Tim Crawford and Isaac Sacolick, both former Chief Information Officers and world-class CIO advisors, join Michael Krigsman on CXOTalk episode 909 to break down why enterprise AI strategies are failing, what separates transformational CIOs from those who are drowning, and why earning your seat at the table matters more than ever in 2026. You'll discover: ✅ Why Tim says both AI strategy AND IT execution are failing, and what CIOs are focused on instead of outcomes ✅ The "three-legged race" framework: how CIO behavior, IT culture, and external perception must align for strategic credibility ✅ Why most CIOs have only a "layperson's understanding" of their own business, and how that kills AI value ✅ Tim's two swim lanes of AI success: invisible integration or robust training (there is no middle ground) ✅ Why Isaac says AI is "reshaping" business but not yet "transforming" it, and the product management shift that changes everything ✅ How to evaluate agentic AI: the human-in-the-loop vs. human-out-of-the-loop decision framework and why cybersecurity proves you can't wait ✅ The shadow AI paradox: why the best CIOs encourage it (with guardrails) instead of shutting it down ✅ The three skills every IT professional needs now: business acumen, critical thinking, and data literacy ⏱️ TIMESTAMPS 0:00 Cold open: "If you think you should have a seat at the table, you've failed" 0:35 Why both AI strategy and IT execution are failing 2:08 The productivity measurement problem with AI 2:45 What CEOs and boards want from CIOs in 2026 4:28 Why CIOs don't truly understand their business 6:54 Why organizations are stuck in AI pilot mode 9:04 Tim's 2 swim lanes: invisible AI vs. training-wrapped AI 11:23 Audience Q&A: Inside-out thinking vs. outside-in thinking 14:34 The 3-legged race: earning your seat at the table 17:09 Moving from AI efficiency to true business transformation 20:03 The shift from project-oriented to product-oriented IT 20:31 AI governance, CISO alignment, and data sensitivity 27:15 Agentic AI: fully autonomous vs. human-in-the-loop 34:46 Agentic AI strategy and the value equation (opportunity minus cost) 38:46 Shadow AI: innovation source or security threat? 43:00 Governance as culture, not a bolt-on 46:00 The AI skills gap: business acumen, critical thinking, data skills, and curiosity 49:46 Are survival-mode CIOs sabotaging their careers? 52:15 What CIO greatness looks like in 2026 🔔 SUBSCRIBE to CXOTalk for unfiltered conversations with the world's top technology and business leaders. 📩 Get notified about upcoming episodes. Subscribe to the CXOTalk newsletter: https://newsletter.cxotalk.com 🎙️ Read the summary and full transcript: https://www.cxotalk.com/episode/cio-agenda-2026-delivering-on-the-ai-promise #CXOTalk #CIOAgenda2026 #AIStrategy #AgenticAI #DigitalTransformation #CIO #AIGovernance #EnterpriseAI #AILeadership #BusinessTransformation

    56 min
  6. Renowned MIT/Stanford Computer Scientist on AI and Collective Intelligence | CXOTalk #909

    11.2.

    Renowned MIT/Stanford Computer Scientist on AI and Collective Intelligence | CXOTalk #909

    MIT and Stanford professor Alex "Sandy" Pentland, one of the most cited researchers in the world with over 165,000 citations, explains why the real AI advantage isn't smarter models but collective intelligence. It's smarter humans working together with AI as the connective tissue. Drawing from his latest book Shared Wisdom, Pentland reveals the frameworks behind community intelligence and why data ownership, not frontier AI, will determine who wins the next decade. You'll discover: ✅ Why "people plus AI" consistently beats AI alone, and the hedge fund evidence that proves it ✅ How "AI buddies" are replacing corporate manuals, newsletters, and hallway conversations to keep distributed teams aligned ✅ The Deliberation.io tool that makes meetings more than twice as effective by neutralizing power dynamics and keeping groups focused ✅ Why a 350,000-person multinational is cutting in-house staff to 150,000 while hiring 100,000 more project-based workers, and how AI enables that shift ✅ How a doctor with zero technical background built a hospital operating system in 6 weeks using AI tools ✅ The staggering stat: AI costs are dropping by 50% every 3.5 months, a factor of 1,000 over three years, and what that means for personal, on-device AI ✅ Why China's Belt and Road and India's Citizen Stack (1.4 billion customers signed up) are quietly winning the global data game while Silicon Valley focuses on frontier models ✅ Sandy's provocative proposal: a 10% equity contribution to sovereign wealth funds at company formation, which would have created a $10 trillion US fund if started in 1990 ⏱️ TIMESTAMPS 0:00 Why AI alone loses money: the hedge fund reality check 2:07 Shared wisdom, community intelligence, and organizational culture 4:25 AI buddies: the brilliant librarian inside your company 5:44 Deliberation.io: making meetings 2x more effective 7:01 Using AI for exploration and long-range strategic thinking 11:29 Who's to blame when AI fails: executives or the machine? 14:28 Why AI can't do causality and what that means for leaders 18:14 AI's killer app for remote work and distributed organizations 21:09 A doctor built a hospital OS in 6 weeks: small teams, massive impact 24:09 Job displacement, social safety nets, and the sovereign wealth fund idea 27:01 Reinventing education: Costa Rica's bet and the MIT Media Lab model 32:16 LLMs vs. older AI: why you need both (and the loyalagents.org initiative) 37:13 Practical starting points for redesigning work with AI 40:16 Misinformation, data provenance, and the billion-dollar North Korea problem 48:50 The global data race: China, India, UAE, and why frontier models aren't the game 54:00 Cybersecurity warning: agentic AI creates massive new attack surfaces 🔔 Subscribe so you never miss a conversation with the world's top business and technology leaders. 📩 Get notified about upcoming shows. Sign up for the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Check the summary and full transcript: https://www.cxotalk.com/episode/ai-and-collective-intelligence-for-smarter-decision-making 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 907 | Recorded February 8, 2026 #CXOTalk #CollectiveIntelligence #AIStrategy #SandyPentland #CommunityIntelligence #SharedWisdom #EnterpriseAI #FutureOfWork #AILeadership #DigitalTransformation

    56 min
  7. Intelligent Orchestration: Better AI Coding and Software Delivery | #CXOTalk #907

    11.2.

    Intelligent Orchestration: Better AI Coding and Software Delivery | #CXOTalk #907

    AI coding tools are writing more code than ever, but your software isn't shipping any faster. Welcome to the AI Paradox and the solution, intelligent orchestration. Bill Staples, CEO of GitLab, explains why AI-accelerated coding is actually creating massive downstream bottlenecks in code reviews, security checks, and deployment, and why adding more AI tools only makes the problem worse. GitLab's solution: intelligent orchestration across the entire software development lifecycle. You'll discover: ✅ The "AI Paradox:" why faster coding isn't translating into faster software delivery ✅ How tool fragmentation and context-switching are killing developer productivity ✅ Why agents that thrive on context fail when your tools are siloed ✅ The "inner loop architecture" that makes AI agents 40% more accurate and 25% faster ✅ How GitLab's intelligent orchestration approach combines workflows, context, and guardrails ✅ Why mid-level developers are about to become strategic orchestrators (not just coders) ✅ The exact metrics CIOs should track, and why "lines of code" is the wrong one ✅ First steps: audit, consolidate, and pilot before going all-in on AI ⏱️ TIMESTAMPS 0:00 The AI Paradox: Why faster coding doesn't mean faster delivery 1:10 How tool fragmentation creates developer bottlenecks 3:40 Why AI agents make complexity worse (not better) 5:12 Solving the AI automation problem: people, process, and technology 6:36 Inner loop architecture: co-locating agents and data 9:14 Intelligent orchestration: workflows, context, and guardrails 10:32 How GitLab's knowledge graph supercharges agent accuracy 12:49 Universal guardrails for humans and AI agents 13:39 Real-world results: 2-3x more merge requests, pipeline fixes in minutes 15:00 Common threads driving customer success 16:36 How AI transforms the mid-level developer's role 19:06 Advice for CIOs and CTOs putting this into practice 20:49 First steps: audit, measure, and pilot 22:45 Core metrics to evaluate AI's real value 25:02 Wrap-up 🔔 Subscribe for weekly conversations with top technology executives. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Drop your questions in the comments: Michael and our community actively engage. 🎙️Read the summary: https://www.cxotalk.com/episode/intelligent-orchestration-software-delivery-for-the-ai-era-with-ceo-of-gitlab #AI #SoftwareDevelopment #DevOps #GitLab #AIAgents #DeveloperProductivity #CIO #CTO #DigitalTransformation #CXOTalk

    25 min
  8. Enterprise AI at Scale: How U.S. Bank's Chief AI Officer Deploys AI Across 70,000 Employees | CXOTalk #906

    21.1.

    Enterprise AI at Scale: How U.S. Bank's Chief AI Officer Deploys AI Across 70,000 Employees | CXOTalk #906

    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 interactions Mehrotra 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. Bank 00:30 How AI Ideas Get Evaluated and Funded 02:24 The Chief AI Officer Role: The 4 E's Framework 05:21 AI as a Transformative Force, Not Just Technology 09:05 Real-World AI Impact: Customer Service and Developer Tools 11:15 Measuring AI Success: Metrics That Matter 15:31 Why 95% of AI Pilots Fail: The Importance of Baselines 17:05 AI and Sustainability Goals 18:01 Managing Risk and Governance at Scale 22:46 Moving from Pilots to Production 25:54 Aligning AI Strategy with Business Objectives 28:39 Building an AI-Ready Workforce: Skills and Education 32:12 How AI Differs from ERP and Traditional Technology Rollouts 35:05 Regulatory Compliance in AI-Driven Customer Outreach 37:16 Leadership Structure and Cross-Functional Collaboration 39:07 Data as the Foundation of AI 42:20 Technology Platforms and Vendor Partnerships 43:24 Build vs. Buy: Leveraging Foundation Models 45:56 AI as Strategic Investment: Creating Durable Value 47:58 Personalization Without Being Invasive 50:14 Conclusion #AI #ArtificialIntelligence #Banking #DigitalTransformation #EnterpriseAI #ChiefAIOfficer #Leadership #CXOTalk

    51 min
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Tietoja

C-Suite Conversations on AI & Strategy. Join industry analyst Michael Krigsman for unfiltered discussions with the leaders shaping the future of business. From AI implementation to digital transformation, hear directly from CIOs, CTOs, CEOs, and more from the world's largest companies. No scripts. No PR fluff. Just real questions from our live audience and honest answers from the C-Suite. Want to participate? Get invited to the next live show: https://www.cxotalk.com/subscribe

Tiedot

  • Tekijä
    Michael Krigsman
  • Julkaisuvuodet
    2015 - 2026
  • Jaksot
    541
  • Luokitus
    Lapsille sopiva
  • Copyright
    © Michael Krigsman
  • Ohjelman sivusto
    CXOTalk
  • Tarjoaja

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