Podcast appearances and mentions of michael krigsman

Most enterprises are renters, not owners, of their technology and AI. Raffi Krikorian, Chief Technology Officer of Mozilla, explains why dependence on a handful of closed model providers means losing control over model behavior, pricing, and your own data.In CXOTalk episode 920, Krikorian lays out where open-source AI actually wins in the enterprise, how lock-in happens quietly, and what CIOs and CTOs should do about it now. Krikorian draws on his experience building infrastructure at Twitter and running the self-driving division at Uber to ground the discussion in real engineering and economic tradeoffs, not hype.YOU'LL DISCOVER✅ Why 85% of enterprises believed they could switch AI vendors, but only about 30% actually could when they tried✅ The "renters vs. owners" framing and what it means to control your AI destiny✅ Why Krikorian wants data "protected by architecture, not legal handshakes"✅ How Pinterest reportedly saved on the order of $10 million in a single quarter by switching from closed to open models✅ Why IT is becoming "the HR team for agents," and the read/write "dangerous triangle" of agentic permissions✅ The case for recording your prompts and running your own evaluations instead of trusting public benchmarks✅ Why roughly 70% of enterprise GPUs sit idle, and the missing "LAMP stack for AI" that could put them to work✅ How closed "validation machines" can quietly steer answers toward sponsored outcomes⏱️ TIMESTAMPS (estimated, verify before publishing)0:00 Renters vs. owners: who controls enterprise AI2:26 The risks of depending on closed model makers6:23 How lock-in happens and where open source fits9:53 Regression testing and building your own evals13:24 Pricing instability and the post-IPO cost question23:31 Governance: IT as HR for AI agents32:38 Can a small organization own its AI stack end-to-end?38:47 Validation machines, trust, and sponsored answers43:39 Keeping humans at the center, not in the loop47:23 Can open source beat big tech in AI?51:39 Inside Mozilla.ai: Otari, CQ, Octanus, Thunderbolt55:21 The "rebel alliance" strategy

AI agents are entering enterprise AI faster than CIOs can govern them. Line-of-business users are vibe-coding their own tools, agents are operating with employee credentials, and foundation models are changing under running systems. In CXOTalk episode 919, Anthony Scriffignano, PhD, a prominent data scientist, and Tim Crawford, a strategic advisor to CIOs at the world's largest companies, examine what enterprise AI governance, shadow AI, and agentic risk require of technology leaders today. The discussion grounds the AI agent conversation in practical decisions: what to keep from established IT governance, what is genuinely new, and where the CIO role must evolve.YOU'LL LEARN:✅ Why traditional regression testing breaks when foundation models, training data, and environments all change at once✅ How shadow AI and vibe-coding by non-developers expand the threat paradigm beyond the enterprise perimeter✅ Why HR-style policies do not transfer to AI agents, and what changes when super-agents call sub-agents through an orchestration layer✅ Specific controls for shadow AI: sandboxes, token counting, personal Identifying Information (PII) guardrails, and watching for value leaving the organization✅ Red, blue, and green teaming for autonomous agents, including why red teams need a defined target list, not a license to break things✅ The three governance layers CIOs must now reconcile: user role-based access controls (RBAC), agent governance, and knowledge governance, across ServiceNow, Salesforce, and SAP✅ When human in the loop is meaningful and when it becomes theater, including the limits of audited-sample review at machine speed✅ How the transformational CIO mindset differs from the traditional one, and why business depth is now the prerequisite skill⏱️ TIMESTAMPS0:00 AI agents are running wild: framing the problem3:11 From automation to autonomy: how CIOs should reframe risk5:21 What old governance disciplines still apply, and what is new6:12 Shadow AI, vibe coding, and the limits of control9:11 Practical controls: sandboxes, token counting, PII guardrails11:53 Why HR policies do not work for AI agents15:24 Regression testing for misuse and misadventure18:43 The aspiring CIO: traditional vs. transformational mindset21:07 Disciplined red, blue, and green teaming23:30 When mandatory automation becomes the only option32:03 Human in the loop: meaningful or theater?34:09 What AI governance actually looks like in practice38:10 New roles: context engineers, AI FinOps, and value frameworks40:30 Talent and jobs inside IT: what changes

Enrique Ibarra, CIO and Head of Business Transformation at GNP, Mexico's largest insurance company, walks through an enterprise-scale pilot of autonomous software development involving roughly 1,000 internal and external developers. The episode examines how agentic AI changes developers' roles from creators to editors and orchestrators.In CXOTalk episode 918, Ibarra explains why AI co-pilots alone were insufficient to modernize a 20-year-old mainframe system, how GNP evaluated the Blitzy autonomous development platform across four real-world use cases, and how developer roles are shifting from creators to editors and orchestrators. The episode covers legacy modernization, enterprise AI adoption, change management, measurable results, and the two-year roadmap to retool the full engineering organization.YOU'LL DISCOVER✅ The CIO's phased human-in-the-loop playbook: target high-effort, low-risk friction points first (documentation, test suites, version upgrades)✅ Measured outcomes: 5 to 10X engineering velocity, near-100% autonomous completion on language upgrades, roughly 80% on frontend modernization✅ Why GNP's 20-year-old mainframe system forced a modernization decision tied to cost and the coming COBOL talent shortage✅ How the pilot was structured across four use cases: Java 8 to Java 21 migration, Angular frontend upgrade, new feature build, and security vulnerability remediation✅ Why autonomous platforms differ from co-pilots, and when to use each (Blitzy for heavy lifting, IDE-based co-pilots for the final 20%)✅ How to encode technical, security, and architectural guidelines as prompt inputs rather than post-hoc review✅ The change management approach that converted skeptical developers into active users within weeks✅ Strategic payoff: shipping new insurance products in weeks rather than months, and shifting IT from maintaining the business to dictating market paceTIMESTAMPS0:00 Introduction and headline results0:39 Why GNP needed to modernize a 20-year-old mainframe system1:15 From coding co-pilots to an autonomous platform2:36 Designing the four-use-case pilot4:26 Autonomous platforms versus vibe coding5:49 What autonomous development means in practice7:24 Encoding security and governance as prompt inputs8:24 Results: velocity, autonomy rates, and the final 20%10:16 How developer roles and daily work change11:19 Managing developer skepticism and change resistance12:25 Advice for CIOs: the phased human-in-the-loop playbook13:34 Strategic business benefits and first-to-market product launches14:58 Rolling out across seven teams and a two-year horizon16:34 Final advice for engineering leaders getting started

Autonomous software development creates a dilemma for leaders in regulated industries: adopt AI coding at scale or fall behind on product velocity without compromising auditability and code quality. In CXOTalk episode 917, Kris Tokarzewski, Group Chief Technology Information Officer at Vitality, describes how a 14,000-employee multinational insurer is rebuilding its software development life cycle around AI. This episode examines the impact of agentic AI on software development in the enterprise.Recorded at Blitzy's headquarters, the conversation examines deterministic code generation, Blitzy's infinite code context, context engineering, test-driven development, and the shifting bottlenecks that surface as throughput accelerates.YOU'LL DISCOVER✅ Why regulated industries require deterministic, auditable code rather than the probabilistic output most AI coding systems generate✅ How Blitzy's infinite code context (ingestion of codebases, engineering standards, and business rules) creates high-quality software aligned with compliance requirements✅ How Vitality reverse-engineers legacy systems with autonomous AI, achieving a measured 5x acceleration over manual methods✅ Why optimizing end-to-end SDLC throughput matters more than local efficiency at any single stage✅ How code review of 50,000 to 100,000-line pull requests becomes the next limiting factor, and how AI reviewers close the gap✅ How test-driven development pairs with autonomous code generation to raise quality and compliance pass rates✅ How the roles of requirements engineers, software engineers, and product teams converge inside an AI-native SDLC✅ How to instrument AI spend against velocity, quality, end-to-end throughput, and customer value rather than isolated gainsTIMESTAMPS0:00 Deterministic code vs. probabilistic AI output0:14 Meet Kris Tokarzewski, Group CTIO of Vitality0:32 Why Vitality is modernizing legacy insurance systems1:30 Event-driven architecture as agentic AI's natural partner3:00 Building an AI-native software development life cycle with Blitzy4:28 Throughput optimization versus local efficiency6:02 Reverse engineering legacy systems and deterministic code generation9:05 Infinite code context: ingesting codebases, standards, and rules10:00 Test-driven development with autonomous code generation10:49 Results: 5x faster legacy reverse engineering13:17 Product, engineering, and DevOps convergence15:04 Roles level up: requirements engineers and software engineers16:18 Reviewing 50,000 to 100,000-line pull requests17:56 Instrumenting AI spend against business outcomes19:16 Executive sponsorship for autonomous development20:16 Advice for CIOs and CTOs adopting AI-driven development

AI swarms are now considered the most dangerous influence weapons ever created, actively fabricating grassroots consensus and corrupting enterprise AI training data through disinformation. Daniel Thilo Schroeder, Research Scientist at SINTEF, and Jonas R. Kunst, Professor at BI Norwegian Business School, co-authored a study with 22 authors published in Science that maps this threat. They explain how AI swarms operate without human oversight, why traditional detection methods fail, and what governments, platforms, and business leaders must do to fight back. This is CXOTalk episode 915.YOU'LL DISCOVER✅ How AI swarms shift from central command to emergent hive behavior with decreasing human oversight✅ Why AI-generated social media messages now pass the Turing test, rendering individual message detection obsolete✅ The persona-centric architecture: how single AI agents coordinate behavior across email, X, Bluesky, and Facebook simultaneously✅ How swarms fabricate synthetic consensus by hijacking human conformist psychology✅ The perverse incentives of social media business models that profit from AI swarm engagement metrics✅ How AI swarms poison LLM training data, causing future models to output manipulated facts as objective reality✅ The proposed Distributed AI Influence Observatory for decentralized threat intelligence sharing✅ Why malicious actors can deploy self-optimizing AI swarms from a bedroom using existing multi-agent frameworks⏱️ TIMESTAMPS0:00 The Shift from Bot Networks to AI Swarms2:00 Why Cheap AI Inference Enables Long-Term Influence Campaigns4:30 Autonomous Coordination and Emergent Hive Behavior7:00 Persona-Centric Agents Across Multiple Platforms8:30 Weaponizing Disinformation to Fabricate Synthetic Consensus14:15 How AI Swarms Corrupt LLM Training Data18:00 Why Individual Message Detection No Longer Works23:00 The Research Frontier: Coordination Pattern Detection27:00 Platform Business Models and Perverse Incentives32:00 Building Defenses: The AI Influence Observatory39:00 Corporate Risks: Fabricated Boycotts and Targeted Harassment46:00 Can It Be Stopped? The Arms Race Democracies Must Join

Agentic AI is reshaping enterprise software faster than most CIOs, CFOs, and vendors are prepared for. Praveen Akkiraju, Managing Director at Insight Partners, joins Michael Krigsman to examine the state of agentic AI in 2026: what works in production, what remains hype, and how sophisticated enterprises are now running more than 1,000 agents at scale. The conversation covers the engineering that separates reliable agents from unreliable ones, the economics of token consumption, and the build-vs-buy calculus facing enterprise buyer4s.YOU'LL DISCOVER✅ Why Praveen argues "the agent is actually the harness," and what a harness includes: tools, context, memory, and guardrails✅ "Jagged intelligence": why state-of-the-art models still fail on basic prompt variations, and the implications for production deployment✅ How leading enterprises are operating 1,000+ agents and the governance questions that remain unresolved✅ A bounded vs. unbounded framework for deciding where agent autonomy is realistic and where human approval must stay✅ Why "token maxing" is consuming annual AI budgets in 90 days, and what CIOs can do about it✅ How Stampli inserts agentic steps into invoice reconciliation rather than rebuilding the workflow from scratch✅ Build vs. buy: why front-end workflows favor buying and back-end, data-heavy workflows favor building✅ The fractional-FTE pricing model emerging for agentic products, and what it means for software economics⏱️ TIMESTAMPS0:00 Token maxing and the enterprise AI budget problem0:23 Model evolution: reasoning, DeepSeek, and the agentic inflection2:03 What is an agent: models plus harness4:46 Hype versus reality in agentic AI8:31 Where agents deliver measurable value today13:10 Agent negligence, guardrails, and sandboxes16:06 Data access boundaries: APIs, MCP, and policy files20:38 Bolt-on agents versus agent-native software26:53 Human in the loop or autonomous: the operating model question33:49 Fix your data first, or start now?41:54 Will agents replace Salesforce and Workday?47:28 Build vs. buy: front end versus back end50:45 Token costs and the return of variable-cost software54:09 Pricing agents as fractional FTEs

Marie Myers, Chief Financial Officer of HPE, explains how she measures business value while deploying agentic AI across a 3,600-person finance organization. Her framework separates direct ROI from indirect value (speed, accuracy, fewer errors) and the operating requirements that make finance AI trustworthy at scale.YOU'LL DISCOVER✅ How Myers separates direct ROI from indirect value, including speed, accuracy, and lower error rates✅ Why determinism was "foundational" for finance AI, and why HPE co-engineered with Nvidia NIMs to achieve consistent answers across half a million data elements✅ What "human in the loop" means in practice, and why accountability stays with finance leaders✅ How Alfred (built on Deloitte's Zora platform) moved from transactional workflows to core finance operating rhythms like HPE's weekly ops call✅ Why clean, reconciled data and a strong data layer are prerequisites for enterprise AI✅ How HPE redesigned FP&A workflows, centralized the team, and pushed "one source of truth" before layering in agents✅ How Myers thinks about agile experimentation, stage gates, and when to stop AI investments that will not pay off✅ Why change management and cultural adoption are often harder than the technology, and how training 3,000+ people was essential⏱️ TIMESTAMPS0:00 Measuring AI value beyond hard ROI3:40 Stage gates, scorecards, and when to stop an AI investment6:49 "This is a team sport": IT, business, compliance7:20 Determinism vs probabilism in financial AI9:38 Alfred, Deloitte Zora, and private cloud (on-premises) architecture13:04 Human in the loop and limits on agent autonomy14:31 Highest ROI AI use cases: engineering, marketing, IT16:23 Where finance sees ROI first: transactional workflows19:00 "AI slop" and maintaining quality standards25:32 Data quality and trusted, reconciled financial data33:49 Redesigning FP&A workflows, "one source of truth"40:35 Change management is the hardest part of AI

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.

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⏱️ TIMESTAMPS0:00 Introduction and the AWARE framework0:34 Core challenges of agent governance2:43 What agents do for us and to us4:36 Applying the AWARE framework in practice7:09 Choosing platforms with built-in controls9:25 Making governance a cultural shift11:51 Earning trust through deliberate risk decisions13:49 Replacing gut reactions with shared criteria15:20 Managing the CIO/CISO tension18:54 Shared language for hard tradeoffs22:01 Go/no-go decisions are never one and done24:48 Advice for putting AWARE into practice26:38 Scaling to 6,000 agents

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

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)⏱️ TIMESTAMPS0:00 AI has made "death by 1,000 cuts" attacks scalable0:39 Why the AI security lifecycle matters now2:27 Military history lessons for cyber defense strategy5:00 Federated learning: sharing threat intelligence without exposing data6:48 How incident response must evolve for AI-speed attacks8:05 The human-in-the-loop dilemma: defenders vs. attackers11:37 Distraction attacks: coordinated multi-target campaigns15:37 Autonomous agents as a new attack surface19:44 Hackers weaponizing AI hallucinations against developers22:23 Development velocity as the real "swarm" capability24:20 Perverse incentives: why stopping an attack still counts as failure27:09 Your personal attack surface grew from 3 devices to 5031:22 Protecting AI tool chains from becoming prime targets34:25 Hackathons as the future of cybersecurity hiring36:53 Patterns of life: instrumenting your enterprise for anomaly detection38:18 When will we trust AI defenders without human oversight?41:09 Pre-compute vs. post-compute: where AI agent safety rules must live46:45 AI trust, hallucinations, and prompt injection as information warfare51:42 Building security culture: leadership, not blame

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⏱️ TIMESTAMPS0:00 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 failing2:08 The productivity measurement problem with AI2:45 What CEOs and boards want from CIOs in 20264:28 Why CIOs don't truly understand their business6:54 Why organizations are stuck in AI pilot mode9:04 Tim's 2 swim lanes: invisible AI vs. training-wrapped AI11:23 Audience Q&A: Inside-out thinking vs. outside-in thinking14:34 The 3-legged race: earning your seat at the table17:09 Moving from AI efficiency to true business transformation20:03 The shift from project-oriented to product-oriented IT20:31 AI governance, CISO alignment, and data sensitivity27:15 Agentic AI: fully autonomous vs. human-in-the-loop34:46 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-on46:00 The AI skills gap: business acumen, critical thinking, data skills, and curiosity49:46 Are survival-mode CIOs sabotaging their careers?52:15 What CIO greatness looks like in 2026

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⏱️ TIMESTAMPS0:00 Why AI alone loses money: the hedge fund reality check2:07 Shared wisdom, community intelligence, and organizational culture4:25 AI buddies: the brilliant librarian inside your company5:44 Deliberation.io: making meetings 2x more effective7:01 Using AI for exploration and long-range strategic thinking11:29 Who's to blame when AI fails: executives or the machine?14:28 Why AI can't do causality and what that means for leaders18:14 AI's killer app for remote work and distributed organizations21:09 A doctor built a hospital OS in 6 weeks: small teams, massive impact24:09 Job displacement, social safety nets, and the sovereign wealth fund idea27:01 Reinventing education: Costa Rica's bet and the MIT Media Lab model32:16 LLMs vs. older AI: why you need both (and the loyalagents.org initiative)37:13 Practical starting points for redesigning work with AI40:16 Misinformation, data provenance, and the billion-dollar North Korea problem48:50 The global data race: China, India, UAE, and why frontier models aren't the game54:00 Cybersecurity warning: agentic AI creates massive new attack surfaces

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..

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.

Too often, AI breaks in the wild. Why? CXOTalk 890 dissects the adversarial economy with Steven C. Daffron (fintech private equity leader) and Anthony Scriffignano (distinguished data scientist), hosted by Michael Krigsman. Discover the challenges of **ai implementation** and the strategies needed to navigate the **future of work** in an AI-driven world. Stay informed with expert insights on CXOTalk. What you'll learn:How AI enables and masks adversarial behaviorMisaligned incentives, data/model drift, and biasGovernance vs. regulation; resilient metrics and KPIsInvestor/CFO implications and talent/education needs 

When AI systems hallucinate, run amok, or fail catastrophically, the consequences for enterprises can be devastating. In this must-watch CXOTalk episode, discover how to anticipate and prevent AI failures before they escalate into crises.Join host Michael Krigsman as he explores critical AI risk management strategies with two leading experts:• Lord Tim Clement-Jones - Member of the House of Lords, Co-Chair of UK Parliament's AI Group• Dr. David A. Bray - Chair of the Accelerator at Stimson Center, Former FCC CIOWhat you'll learn:✓ Why AI behaves unpredictably despite explicit programming✓ How to implement "pattern of life" monitoring for AI systems✓ The hidden dangers of anthropomorphizing AI✓ Essential board-level governance structures for AI deployment✓ Real-world AI failure examples and their business impact✓ Strategies for building appropriate skepticism while leveraging AI benefitsKey ideas include treating AI as "alien interactions" rather than human-like intelligence, the convergence of AI risk with cybersecurity, and why smaller companies have unique opportunities in the AI landscape.This discussion is essential viewing for CEOs, board members, CIOs, CISOs, and anyone responsible for AI strategy and risk management in their organization.Subscribe to CXOTalk for more expert insights on technology leadership and AI:

Zendesk CEO Tom Eggemeyer joins Michael Krigsman to discuss the impact of AI CX on customer expectations. They explore real-world lessons from the Zendesk AI journey, including what has worked and what hasn't. Learn how customer service is being reshaped by ChatGPT and artificial intelligence and machine learning.Key Topics Covered:The shift from traditional chatbots to reasoning AI agentsWhy Zendesk only gets paid when AI successfully resolves issuesHow AI is more accurate (and sometimes more empathetic) than humansThe surprising ways AI is changing customer service metricsReal-world examples of AI successes and failuresThe future of work in an AI-dominated landscape

The generative AI revolution has created an insatiable demand for efficient, powerful computing. How is a key industry leader like AMD navigating this critical inflection point?In CXOTalk episode 884, Michael Krigsman sits down with Mark Papermaster, CTO and Executive Vice President of AMD, to explore the future of AI infrastructure. Discover AMD's strategy for winning in the AI era, which hinges on a tight integration of hardware and software, a commitment to open ecosystems, and a relentless focus on energy efficiency.Mark shares invaluable insights for technology leaders on the rise of hybrid AI, the future of tailored language models, and the leadership practices required to foster innovation and agility in this fast-paced environment. ===+

AI expert Nate B. Jones joins Michael Krigsman on CXOTalk episode 883 to discuss prompting strategies and how they impact the performance of large language models (LLMs). Learn how to use ChatGPT to generate better results and understand the importance of AI prompt engineering. Discover effective methods to improve AI productivity using proper prompting techniques.

In episode 882 of CXOTalk, Michael Krigsman sits down with Kevin De Liban, founder of TechTonic Justice and former legal aid attorney, who reveals the shocking truth about AI's impact on vulnerable communities. De Liban shares how 92 million low-income Americans now have critical life decisions, such as healthcare, housing, employment, and government benefits, that are determined by algorithms that often fail catastrophically.Drawing from his groundbreaking 2016 legal victory in Arkansas, where he successfully challenged an algorithm that devastated the lives of disabled Medicaid recipients, De Liban exposes the myth of AI neutrality and demonstrates how these systems reflect the biases and incentives of their creators. He explains why self-regulation and "ethical AI" initiatives often fail when they conflict with business interests, and why effective regulation is crucial.What you'll learn: The real scale of AI harm affecting 92 million Americans Why AI systems aren't neutral decision-making toolsHow algorithms denied healthcare to disabled people in ArkansasWhy ethical AI initiatives fail without enforceable accountabilityPractical steps technology leaders can take to prevent harmThe expansion of AI monitoring into middle-class professionsWhy regulation benefits ethical companiesHow to determine if AI is appropriate for high-stakes decisionsThis conversation challenges conventional wisdom about AI adoption and offers essential guidance for executives, developers, and policymakers navigating the intersection of technological innovation and social responsibility.Whether you're a C-suite executive, technology professional, policymaker, or concerned citizen, this discussion provides crucial insights into one of the most pressing issues of our time: ensuring AI serves humanity rather than harming those who need protection most.=====Subscribe to CXOTalk: www.cxotalk.com/newsletterRead the episode summary and transcript: www.cxotalk.com/episode/ai-failure-injustice-inequality-and-algorithmsLearn more about TechTonic Justice: www.techtonicjustice.org

AI strategist and TikTok commentator Nate B. Jones joins CXOTalk host Michael Krigsman to explain the high-stakes race among OpenAI, Google, Meta, and others to advance large language models. The discussion explores token economics, model specialization, and hands-on prompting skills every executive needs to translate AI progress into business results. Watch Episode 880 now and subscribe for weekly conversations with top tech leaders.

Join Andrew Wesbecher (Powered_By) and Michael Krigsman on CXOTalk episode 878 to discuss how AI agents can help small businesses succeed in 2025. Learn from industry experts and discover the benefits of using AI technology for your SMB to stay ahead of the competition!Learn more from www.poweredby.agency===================

Learn about the impact of AI in healthcare in CXOTalk episode 877 on AI in clinical trials. Discover how artificial intelligence is revolutionizing clinical trials and the potential benefits for the healthcare industry.AI promises faster, safer clinical trials and better patient experiences. Clario's EVP & Chief Information Technology & Product Officer, Jay Ferro, joins CXOTalk host Michael Krigsman to explain how his team unifies IT, product, data, security, and marketing under one roof, giving sponsors, sites, and patients a single, seamless platform. He outlines responsible AI governance with legal, medical, privacy, and security leaders. He shows how predictive tools speed recruitment, sharpen protocol design, cut dropout risk, and support image interpretation while physicians keep the final judgment.Watch to learn• How a unified tech-product structure cuts cost and removes friction• Steps for enterprise-wide AI oversight in a regulated environment• Real use cases for AI in recruitment, imaging, and trial optimization

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.

Mike "C-Roc" sits down with Michael Krigsman, a thought leader and the creator of the video podcast CXOTalk. Known for engaging with chief executives, technology officers, and other C-suite leaders, Michael shares his journey from running a successful consulting business to launching a groundbreaking live video show in 2013. With over 800 episodes of CXOTalk under his belt, Michael reflects on his early days blogging about IT project failures, which eventually led to partnerships with platforms like ZDNet and recognition in numerous media outlets, including The Wall Street Journal. Michael dives into the evolution of his podcasting journey, discussing his transition from using Google Hangouts to building a sophisticated broadcast setup. He reveals how his passion for engaging with top executives turned into a sustainable business model while remaining true to his original vision. The episode explores Michael's unique approach to storytelling, his commitment to maintaining high-quality content, and the lessons he's learned along the way. Tune in to hear an inspiring conversation about grit, persistence, and the art of staying true to your mission while navigating the ever-changing digital landscape. Website- https://www.cxotalk.com Social Media Links/Handles- www.linkedin.com/in/mkrigsman https://twitter.com/mkrigsman

Artificial intelligence is reshaping the world, but how can we trust it and build ethical AI? In this episode of CXOTalk, we explore the dual nature of AI—its potential to build trust and its risks of enabling deception. Join host Michael Krigsman and our expert guests:

Are you navigating the complex landscape of AI ethics and governance?

Artificial intelligence is rapidly transforming business, technology, and society. On this episode of CXO Talk, Dr. Terrence Sejnowski, a renowned computational neuroscientist, deep learning pioneer, and author of "ChatGPT and the Future of AI," discusses the implications of this technological revolution. He explores how AI is evolving, drawing parallels with the human brain, and explains why a robust data strategy is crucial for successful AI implementation. Dr. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at UC San Diego. Dr. Sejnowski explains the importance of lifelong learning for employees and emphasizes AI's role in augmenting, not replacing, human capabilities. He also addresses critical topics such as explainability in AI decision-making, ethical considerations, and the potential impact of AI on the future of work. This discussion offers practical guidance for business and technology leaders navigating the complexities of AI integration and its implications for their organizations. Episode Participants Terrence J. Sejnowski is Francis Crick Chair at The Salk Institute for Biological Studies and Distinguished Professor at the University of California at San Diego. He has published over 500 scientific papers and 12 books, including ChatGPT and The Future of AI: The Deep Language Learning Revolution. He was instrumental in shaping the BRAIN Initiative that was announced by the White House in 2013, and he received the prestigious Gruber Prize in Neuroscience in 2022 and the Brain Prize in 2024. Sejnowski was also a pioneer in developing learning algorithms for neural networks in the 1980s, inventing the Boltzmann machine with Geoffrey Hinton; this was the first learning algorithm for multilayer neural networks and laid the foundation for deep learning. He is the President of the Neural Information Processing Systems (NeurIPS) Foundation, which organizes the largest AI conference, and he is a leader in the recent convergence between neuroscience and AI. Michael Krigsman is a globally recognized analyst, strategic advisor, and industry commentator known for his deep expertise in digital transformation, innovation, and leadership. He has presented at industry events worldwide and written extensively on the reasons for IT failures. His work has been referenced in the media over 1,000 times and in more than 50 books and journal articles; his commentary on technology trends and business strategy reaches a global audience. #AI #ArtificialIntelligence #FutureofWork #DeepLearning #CXO #DigitalTransformation #BusinessStrategy #TechnologyLeadership #ChatGPT #cxotalk

In episode 862, Michael Krigsman talks with Bernardo Mariano Jr., Assistant Secretary-General and Chief Information Technology Officer at the United Nations, about the evolving landscape of AI governance and digital responsibility. They discuss the Global Digital Compact, strategies for bridging the digital divide, and the importance of equitable data access. Learn how the UN collaborates with governments, private sector leaders, and civil society to establish global frameworks that align innovation with ethical principles. Gain actionable insights into responsible AI implementation, reducing risk, and ensuring that both mature enterprises and emerging startups benefit. #AI #DigitalTransformation #ArtificialIntelligence #UN #GlobalGovernance #EthicalAI #Sustainability #Innovation #DigitalEquity #Leadership #CXOTalk #technology Subscribe to CXOTalk for more executive-level conversations on AI, digital transformation, and strategic leadership.

AI is transforming financial services, but are we building it responsibly? Dr. Scott Zoldi, Chief Analytics Officer at FICO, joins Michael Krigsman on CXOTalk episode 859 to discuss the importance of AI ethics in finance. Learn how to build trust, transparency, and accountability into your AI systems. In this episode, we cover: • The challenges of black box AI and the need for explainable AI (XAI) • Practical strategies for mitigating bias and ensuring fairness in AI-driven decisions • FICO's innovative use of blockchain to ensure responsible AI development • How to balance innovation with ethical considerations in financial services • Actionable advice for business and technology leaders Watch now to gain valuable insights into navigating the complex ethical landscape of AI in finance. Subscribe to CXOTalk for more conversations with leading experts on the critical issues facing business and technology leaders today. #ai #Ethics #FinTech #ArtificialIntelligence #Blockchain #CXOTalk #DigitalTransformation #Innovation #Leadership #responsibleai #cxotalk

Are your marketing efforts falling flat? You're probably focusing on tactics, not strategy. Join marketing guru Seth Godin and Michael Krigsman on CXOTalk to dissect the critical difference between strategy and tactics, revealing why most companies miss the mark and how to build a winning, long-term approach.In this discussion, Seth exposes the pitfalls of chasing short-term gains and neglecting the underlying philosophy that drives successful marketing. He shares real-world examples of companies like Google, Yahoo, Netflix, and Starbucks, illustrating how a clear strategy can make or break a business.Discover how to:Define your core strategy: Move beyond vague mission statements and identify the fundamental "why" behind your business.Understand invisible systems: Learn to recognize the underlying forces shaping your market and how to leverage them for growth.Empower your team: Connect your strategy to everyday actions and inspire your team to contribute meaningfully.Embrace the smallest viable audience: Focus on building a passionate core audience to amplify your message.Leverage technology effectively: Avoid chasing the latest tech trends. Use technology strategically to advance your core strategy.Tell compelling stories: Connect with your audience emotionally and create resonating narratives.This episode is a must-watch for CEOs, CMOs, marketing professionals, and anyone looking to build a sustainable and impactful business. Don't just get the word out—make a real difference.

AI and data science experts Dr. Anthony Scriffignano and Dr. Satyam Priyadarshy join Michael Krigsman for a candid discussion on the practical realities of AI implementation. They debunk the myth of AI as a magic bullet and explore what truly drives success in AI projects and the common pitfalls that lead to failure.Learn how to address critical challenges like confirmation bias, data quality issues, communication gaps between data scientists and business leaders, and the ethical considerations of synthetic data. Discover practical strategies for building a data-driven culture, managing computational costs, and maximizing the value of your data science initiatives. This episode is a must-watch for business and technology leaders seeking to leverage AI effectively.

Ready to explore the mind-bending world of Agentic AI and its impact on the future of work?In CXOTalk episode 854, Michael Krigsman talks with Babak Hodjat, Cognizant's CTO of AI, to unravel the mysteries of AI agents, evolutionary algorithms, and the potential for robot armies to reshape our world.Discover:What are AI agents, and why are they like mini robot armies? Learn how multi-agent systems are revolutionizing AI and offering advantages over traditional approaches.Can robots learn to walk in a world where trees float? Explore the fascinating world of evolutionary AI and its applications in website optimization, robot locomotion, and more.How do we prevent AI bias and ensure responsible development? Hodjat tackles the crucial ethical considerations of AI and the need for human-centric design.What does the future hold for businesses in the age of agentic AI? Get a glimpse into a future where interconnected AI agents collaborate to achieve complex business goals.Babak Hodjat, a pioneer in AI and one of the inventors of Siri's natural language processing, demystifies complex AI concepts and offers practical insights for business and technology leaders. Don't miss this opportunity to explore the future of AI and its transformative potential!Subscribe to the CXOTalk newsletter to join our LIVE conversations:Episode page: https://www.cxotalk.com/episode/inside-the-advanced-ai-lab-agents-robots-and-levitating-treesTwitter: https://twitter.com/cxotalkLinkedIn: https://www.linkedin.com/company/cxotalkFacebook: https://www.facebook.com/cxotalk

Want to understand the power of agentic AI and how it can transform your business? In episode 854 of CXOTalk, Michael Krigsman sits down with Praveen Akkiraju, Managing Director at Insight Partners, to explore the exciting world of AI agents.This episode simplifies complex concepts, helping you understand AI agents' potential for automating tasks, boosting efficiency, and unlocking innovation. We explore real-world applications, the crucial role of data infrastructure, and the importance of trust and transparency in agentic AI systems.Plus, we address those burning questions about the impact of AI on the future of work.Listen to this episode to learn:-- What agentic AI is and how it differs from traditional AI-- Practical applications of AI agents in various industries-- Key considerations for evaluating and implementing agentic AI solutions-- How to build trust and transparency into your AI systems-- The potential impact of agentic AI on jobs and the workforceDon't miss out on this essential discussion about the future of AI in the enterprise!Subscribe to CXOTalk for more insights from leading experts in the tech industry!

Know the secrets to effective communication for tech leaders with insights from Michael Krigsman in this episode of Biotech Bites Podcast. Michael shares his experiences and advice on mastering storytelling, leadership, and business communication. Learn how to enhance your communication skills and lead with confidence. Please visit our website to get more information: https://swangroup.net/Join us as we explore:The importance of listening and mentorshipAdapting to business needsEffective communication strategies for tech and biotech leadersRemember to subscribe, like, and comment for more valuable insights!This video is about Top Communication Hacks For Tech Leaders: Expert Insights With Michael Krigsman! But It also covers the following topics:Communication Skills For Tech LeadersEffective Communication In TechTech Leadership Communication TipsVideo Title: Top Communication Hacks For Tech Leaders: Expert Insights With Michael Krigsman!  

In Episode 852 of CXOTalk, host Michael Krigsman explores enterprise AI strategy with guests Anindya Ghose, Professor at NYU Stern School of Business, and Ravi Bapna, Chair Professor at the University of Minnesota's Carlson School of Management.What You'll Learn:The "House of AI" Framework: Understand the foundational pillars—data engineering, descriptive analytics, predictive analytics, causal analytics, and prescriptive analytics—that form the basis of successful AI strategies.Building a Strong AI Foundation: Learn why allocating 70% of resources to data cleaning and preparation is crucial for AI success.Overcoming Barriers to AI Adoption: Discover how to address the "three I's"—inertia, ignorance, and lack of imagination—that hinder AI implementation in organizations.Leveraging AI for Competitive Advantage: Explore techniques like transfer learning and fine-tuning to maximize AI benefits, even with smaller datasets.Addressing AI Ethics and Bias: Gain insights into proactive measures for de-biasing AI models and ensuring fairness and equity in AI outputs.Cultivating an AI-Ready Workforce: Find out how to upskill your team and foster a culture that bridges the gap between technical capabilities and business leadership.Learn from two leading academics collaborating on AI initiatives with over 200 companies globally.Stay Connected:

In CXOTalk episode 849, Michael Krigsman hosts Peter Altabef, Chair and CEO of Unisys, to explore the transformative role of AI in enterprise technology and the pivotal role of CIOs in this evolution. Altabef provides insights into how Unisys integrates AI to improve client solutions and internal operations while emphasizing strategic investment and leadership.*Episode Highlights:**AI as a Catalyst for Innovation:* Learn how AI, especially generative AI, reshapes business strategies, fosters innovation, and redefines customer engagement.*CIO Leadership in AI Transformation:* Discover how CIOs are crucial in driving AI initiatives, managing risks, and fostering cross-departmental collaboration to achieve success in a rapidly changing landscape.*Disciplined AI Investment:* Understand Unisys's strategic approach to AI investment, focusing on projects that align with business objectives and deliver measurable ROI.*Cultural and Leadership Transformation:* Explore the importance of cultivating a culture of continuous learning and servant leadership to navigate AI-driven changes successfully.*Future Technologies:* Explore the potential of emerging technologies like quantum computing to expand AI capabilities and drive future growth.*About the Participants:**Peter Altabef:* Chair and CEO of Unisys, with a wealth of experience in leading technology companies.*Michael Krigsman:* Industry analyst and CXOTalk host, recognized for his digital transformation and leadership expertise.#enterpriseai #digitaltransformation #ceo #cio #cxotalk #unisys 

Explore the alarming world of AI-driven disinformation and its impact on businesses in CXOTalk Episode 844. Clemson University professors Patrick Warren and Darren Linvill, co-directors of the Media Forensics Hub, join host Michael Krigsman to expose the latest tactics used to spread disinformation.Learn how bad actors, from state-sponsored campaigns to individual influencers, leverage AI to create and spread disinformation at an alarming scale. Warren and Linvill provide expert insights into:-- The structure of disinformation campaigns-- The growing threat to businesses, who can be targets or suffer collateral damage-- Potential technological solutions, including AI-powered detection and mitigation toolsLearn how to protect your organization from AI-driven disinformation and leverage AI for good. This episode is a must-watch for business leaders who want to understand and mitigate the risks of disinformation in today's digital landscape.#disinformation #AI #artificialintelligence #socialmedia #mediaforensics #CXOTalk  #narrativelaundering #privacy

In CXOTalk episode 841, host Michael Krigsman sits down with Yousuf Khan, Partner at Ridge Ventures and former multi-time CIO, to explore the transformative impact of AI on venture capital, startups, and enterprise AI.Key topics include:• Separating AI hype from reality in VC investing• Evaluating AI startups and their long-term potential• The challenges and opportunities AI presents for enterprises• Balancing innovation with risk management in AI deployment• Strategies for CIOs and boards navigating the AI landscapeKhan shares insights from his unique perspective as both a seasoned CIO and current VC investor. Learn how to identify promising AI ventures, understand the "blast radius" of AI implementations, and develop the critical skills needed to lead successful AI initiatives in your organization.

Today we're talking to Michael Krigsman, Host of CXOTalk. We discuss Michael's journey interviewing top executives for nearly 1000 episodes, what he's learned from these exceptional minds, and how CTOs in particular can become the best versions of themselves. All of this right here, right now, on the Modern CTO Podcast!  To learn more about CXOTalk, check out their website: https://www.cxotalk.com/ Produced by ProSeries Media: https://proseriesmedia.com/ For booking inquiries, email booking@proseriesmedia.com

In episode 832 of CXOTalk, Michael Krigsman talks with Mohamad Ali, the Chief Operating Officer of IBM Consulting, about practical aspects of integrating AI into business operations. The discussion explores challenges and opportunities that companies encounter as they transition from initial AI experimentation to scaling these solutions effectively.Ali emphasizes the changing landscape of AI consulting, highlighting the shift from building initial use cases to addressing the complexities of scaling, which involve security, bias, data privacy, governance, and cost optimization. He also introduces IBM Consulting Advantage, a platform designed to equip consultants with AI tools and resources while ensuring responsible and ethical implementation.#OperationalizeAI #ibm #futureofwork #genai #cxotalk #aibusines #professionalservices *Stay Connected:*

In this episode of CXOTalk, Michael Krigsman speaks with Rob O'Brien, Head of International Technology at ITV Studios, about the digital transformation of television production. The conversation covers:➡️How ITV is adapting to the rise of streaming services like Netflix and Disney+➡️Enabling creatives with innovative technology to make the best TV shows➡️Managing complex workflows and processes across 400-500 productions per day➡️Using Zoho Creator and Zoho Analytics to centralize production data and enable quick decision-making➡️The importance of low-code development for rapidly building and adapting applications➡️Change management best practices for implementing new technologies➡️Exploring AI and machine learning to create efficiencies in production workflowsO'Brien shares insights on twinning technology with the needs of creatives, gaining leadership buy-in for transformation initiatives, and establishing governance for low-code platforms. He also discusses ITV's multi-cloud strategy and their "watching brief" on generative AI in television production.The key lessons shared include starting with the "why" behind transformation projects and ensuring sustained leadership support. O'Brien and Krigsman also explore the compliance, data privacy, and security aspects of implementing a global low-code solution.This in-depth case study provides valuable learnings for business and technology leaders undertaking digital transformation initiatives. The interview was conducted at Zoho Day 2024 in McAllen, Texas.

Join host Michael Krigsman and prominent guests David Bray and Anthony Scriffignano for an insightful CXOTalk discussion on navigating the complex landscape of AI ethics and governance. As AI rapidly advances and becomes more influential in our daily lives, it's crucial to ensure these powerful technologies are developed and used in a trustworthy, responsible manner.*Key topics include:*

CXOTalk host, Michael Krigsman, talks with Juliette Powell, author and AI expert, to dissect the complexities of ethical AI in our rapidly evolving digital landscape. As AI becomes increasingly embedded in our lives, the conversation around its ethical use has never been more critical. Juliette Powell brings her extensive knowledge to the table, discussing the seven foundational principles outlined in her book, "The A.I. Dilemma."Key Takeaways from the Episode:-- Intentionality in AI Development: Juliette Powell stresses the importance of intentional risk assessment in AI, urging businesses to consider the human impact and integrate these assessments into their organizational strategies.-- Responsible Technology vs. Ethical AI: Powell challenges the vague concept of "ethical AI," advocating for responsible technology that accounts for global impacts and the billions of people coming online.-- Risk-Benefit Analysis in AI Deployment: Through the lens of OpenAI's ChatGPT and Google's Bard, Powell discusses the varying risk calculations by corporations and their significant implications for trust and market perception.What You'll Learn:-- The disconnect between AI risk assessments and broader organizational risk management strategies.-- The need for a tangible approach to responsible technology that considers inclusivity and global responsibility.-- How corporate risk calculations affect market trust and the perception of AI technologies.Why Watch?-- Gain insights into the ethical considerations and challenges in AI development.-- Understand the importance of responsible innovation for long-term societal benefits.-- Learn strategic approaches to AI deployment within legal and ethical boundaries.Join us for this enlightening conversation that navigates the ethical dilemmas of AI and offers guidance for senior executives and technology enthusiasts. Don't forget to subscribe to CXOTalk for more discussions with leading thinkers in business and technology.

In this episode of CXOTalk, host Michael Krigsman talks with Taylor Wolsey from GardaWorld about the company's journey to align customer experience and operational excellence through digital transformation. GardaWorld, a leading security services provider, has grown rapidly through acquisitions, presenting challenges in delivering a consistent, high-quality customer experience across multiple brands, languages, and regions.Wolsey shares valuable insights into how GardaWorld:

In this episode of CXOTalk, Michael Krigsman speaks with Anand Oswal from Palo Alto Networks to explore the critical issue of securing unmanaged devices by using enterprise browsers. Oswal highlights the alarming statistic that over 50% of devices accessing corporate data are unmanaged, contributing to 90% of successful malware attacks. He emphasizes the need for robust security measures that can consistently protect both managed and unmanaged devices without compromising user experience. The discussion examines the role of enterprise browsers as a solution, with Gartner predicting their significant adoption by 2030 for secure application access on unmanaged devices.The conversation further examines the risks associated with unmanaged devices and the strategies organizations can employ to mitigate these threats. Oswal outlines a three-step approach involving Secure Access Service Edge (SASE), securing the browser workspace, and implementing data loss prevention controls. He also discusses Palo Alto Networks' acquisition of Talon, to enhance their security offerings with a secure enterprise browser. The integration of Talon's technology with Palo Alto's Prisma SASE architecture aims to provide a seamless and secure browsing experience, extending protection to the growing number of contractors and remote workers using personal devices for corporate tasks. The episode concludes with Oswal stressing the importance of education in understanding the risks of unmanaged devices and the necessity of a holistic security approach that encompasses all devices within an organization.

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➡️ *Please support this podcast by clicking on our sponsor:* vanta.com/cxotalkIn episode 817 of CXOTalk, we welcome Greg Stuart, CEO of MMA Global, for an engaging conversation on the evolving role of Chief Marketing Officers (CMOs) in the rapidly shifting landscape of AI-driven marketing. Greg shares his expert views and data-backed insights, drawing from his experience leading MMA Global, an important nonprofit industry body for CMOs. This episode explores the current challenges and future directions of marketing in the AI era, offering valuable perspectives for CMOs and marketing professionals.