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AI is changing filmmaking, because it is shrinking the gap between imagination and a finished frame. 🎥🤖 In this conversation with Samir Mallal and Bouha Kazmi, co-founders of OneDay, we explore how director-led AI workflows are reshaping the creative process, from story development and character choices to building cinematic scenes through rapid iteration. We talk about why iteration is becoming a creative advantage, how directors can steer generative tools with intention, and why human taste, judgment, and story sense are still the difference between “watchable” and “worth watching.” 🎬🧠 You’ll also hear how they bring traditional craft into AI production, including performance and voice, and why originality at the inception stage matters even more as content volume increases. We also unpack the big questions around copyright, standards, and trust, and what a more responsible AI filmmaking ecosystem could look like. ⚖️ Finally, Samir and Bouha share why OneDay is raising funds right now, and how they plan to grow while keeping craft at the center. 🚀 If you care about AI video generation, the future of filmmaking, generative storytelling, creative leadership, and where media goes next, this episode is for you. 👍 If you found it useful, please like, subscribe, and share. #AI #GenerativeAI #Filmmaking #AIVideo #ContentCreation #Storytelling #FutureOfMedia #MediaTech #CreativeIndustry #VideoProduction #DigitalTransformation #Innovation #FutureOfWork

AI is changing communications and marketing faster than most organizations can keep up. In this in-depth conversation, I’m joined by Ephraim Cohen, Global Head of Data and Digital at FleischmanHillard, to explore how leading agencies are actually using AI in real workflows, not as experiments, but as everyday tools that improve strategy, creativity, and decision making. 🤖📊 We cover: ✅ How AI is reshaping campaign planning from audience insight to execution ✅ The rise of synthetic audiences and AI powered simulations for reputation and crisis management ✅ Why hands on AI fluency matters more than centralised experts ✅ How to use AI to elevate creativity without producing generic content ✅ What media fragmentation and generative AI mean for brand trust ✅ How communications teams can prepare for the next wave of digital disruption This episode is packed with real-world examples of how AI is transforming communications, marketing strategy, and corporate reputation in practice. If you’re a business leader, marketer, communicator, or anyone interested in the future of AI at work, this conversation will give you practical insights you can apply today. 🔔 Subscribe for more interviews on AI, business, and technology 👍 Like the video if you found it valuable 💬 Share your thoughts in the comments #AI #ArtificialIntelligence #MarketingAI #CommunicationsStrategy #DigitalTransformation #FutureOfWork #GenerativeAI #BusinessStrategy #BrandTrust #DataDrivenMarketing #AIAgents #MarketingInnovation #Leadership #TechTrends

🧠 From Fluency To Thinking: Why Reasoning Models Are The Next Leap In AI For years, AI progress has been measured by how convincingly machines can talk. The next phase is defined by how well they can think. This conversation explores why that shift matters and what it means for science, industry, and high-stakes decision-making. #MBZUAIPartnership #Sponsored In this episode, I sit down with Jon Carvill, Vice President of Marketing and Communications at MBZUAI, to discuss the rise of reasoning models and why they represent a fundamental change in how we should judge AI capabilities. 🎯 WHAT WE COVER: Why fluency alone doesn't guarantee understanding in high-stakes applications The critical difference between predicting words and reasoning through problems How MBZUAI's K2-Think was built for reasoning from the ground up, not retrofitted What makes reasoning models essential for science, engineering, and medicine Real-world applications: drug discovery, climate science, financial modelling, and manufacturing Why openness matters: training data, methodologies, and full transparency The strategic importance of sovereign AI development for trust and governance How K2-Think V2 achieves strong performance with clear, explainable reasoning The connection between reasoning models and world models for physical reality What this means for the future: moving from conversation to reliable decision-making Where to try K2-Think and access the full open-source release 🔬 Jon Carvill leads marketing and communications at the Mohamed bin Zayed University of Artificial Intelligence, home to the Institute for Foundational Models (IFM). Their work on K2-Think represents a critical step toward AI systems that can be inspected, trusted, and applied to complex real-world problems. This conversation reveals why the next generation of AI will be judged by its ability to reason rather than talk, why transparency and sovereignty have become practical requirements for adoption, and how open reasoning models could shape the future of science and industry. If you are curious to try it, K2 Think is accessible through the public web app at k2think.ai, while researchers can explore the full open releases, including data and training recipes, via IFM’s Hugging Face repositories. #MBZUAIPartnership #Sponsored #AI #ArtificialIntelligence #ReasoningModels #MBZUAI #K2Think #OpenSourceAI #AIResearch #MachineLearning #FoundationModels #ScientificAI #TrustInAI #AISovereignty #WorldModels #BernardMarr #TechInterview #FutureOfAI #AIStrategy

🚀 AI adoption is surging in 2026, but are organizations actually ready to scale it safely and responsibly? In this interview, I sit down with Nathan Turajski, Senior Director for Product Marketing at Informatica, to explore the key findings from Informatica’s CDO Insights 2026 report and what they reveal about the next phase of enterprise AI. We discuss why trust in AI is rising faster than readiness, what the AI trust paradox means for leaders, and why data foundations, governance, and literacy will decide who wins with GenAI and agentic AI. 🧠📊🔐 You will learn how leading data teams are thinking about: ✅ The AI trust paradox, confidence vs readiness ✅ Scaling GenAI from pilots to production, and why data reliability still blocks progress ✅ Agentic AI adoption, new risks when systems can act, not just advise ✅ Unstructured data governance, emails, PDFs, transcripts, and the new frontier of trusted context ✅ AI literacy and data literacy: why people are becoming the real scaling constraint ✅ Vendor sprawl and complexity: how tool fragmentation can slow ROI and increase risk 📄 Download Informatica’s CDO Insights 2026 report: https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbmt3UnUxblRuOXR6Wk5PVE1QWUhSd0lJRFFvQXxBQ3Jtc0tuX3VOOHhIeUlxNExUYk1XQ3JqZzdsVGZPUE1HbjlzZmFZU0dpYk1BcDB3dUFWOTJYN1NjRXc3WF9MMlAzUnZEMndKZWcxODVLa1ltUEp5cUFLZ0oxem1FNjRDNFZTTDQxV3hTZ0Z2WGJ0S2dhNXBpTQ&q=https%3A%2F%2Fwww.informatica.com%2Flp%2Fcdo-insights-2026_5264.html%3Fformid%3D43814%26programName%3D26Q1-GTAS-GBL-CDO-NP-NI-NV-NO-CDOInsights2026-0-PT5264-H%26utm_source%3Dyoutube%26utm_medium%3Ddisplay%26utm_campaign%3D26Q1-GTAS-GBL-CDO-NP-NI-NV-NO-CDOInsights2026-0-PT5264-H%26utm_country%3Dgb%26utm_creative%3Dpt5264-bernardmarr-2026q1%26utm_journey%3Dcdo%26utm_cost%3Dnone&v=YgEPviY4rwo #Sponsored #InformaticaPartner  #Informatica #CDO #CDOInsights #AI #GenerativeAI #AgenticAI #Data #DataManagement #DataGovernance #AIGovernance #DataQuality #UnstructuredData #DataLiteracy #AILiteracy #Analytics #DigitalTransformation #FutureOfWork

AI is moving beyond experimentation and into the backbone of the enterprise. In this interview, I sit down with Pascal Brier, Chief Innovation Officer at Capgemini, to unpack TechnoVision 2026and the five technology trends that will reach an inflection point next year. We discuss how AI is reshaping software development, cloud architectures, and enterprise operations, and what this shift means for business leaders who want measurable impact rather than hype. #CapgeminiPartner #Sponsored 🎯 In this conversation, we explore: • The year of truth for AI and why 2026 is about proof-of-impact • How AI is eating software and redefining the software lifecycle • Cloud 3.0 and why hybrid, sovereign, edge, and multi-cloud matter for AI at scale • The rise of Intelligent Ops and Human-AI co-steering • The borderless paradox of tech sovereignty and resilient interdependence This is a practical discussion for CEOs, CIOs, CTOs, and transformation leaders who want to understand where technology is really heading and how to turn it into business value. 👇 Let me know which trend you believe will matter most for your organization. #TechnoVision2026 #ArtificialIntelligence #EnterpriseAI #DigitalTransformation #FutureOfWork #CloudComputing #AITrends #BusinessTechnology #Capgemini #AILeadership

What does CES 2026 really tell us about the future of technology, business, and geopolitics? 🌐🤖 In this conversation, I speak with Gary Shapiro, CEO of the Consumer Technology Association and the driving force behind CES, about the trends shaping the global tech landscape. We explore how artificial intelligence is moving from experimentation to real productivity, why robotics, healthcare tech, and mobility are becoming central themes at CES 2026, and how regulation can either enable or suppress innovation. We also discuss tariffs, export controls, and why uncertainty is becoming one of the biggest risks to global investment. Gary shares his perspective on how democracies can compete with centralized tech strategies, the growing importance of energy and nuclear power for AI and data centers, and why collaboration between governments, industry, and startups matters more than ever. If you want to understand where technology is heading next, and what it means for business leaders and policymakers, this conversation offers a clear and candid view. 🔔 Subscribe for more conversations on the future of business and technology 👍 Like and share if you found this useful #CES2026 #ArtificialIntelligence #FutureOfTechnology #AILeadership #TechPolicy #Innovation #Robotics #QuantumComputing #EnergyTech #GlobalTech #GaryShapiro #BernardMarr

When the CEO of a major freelance platform tells his own employees that AI is coming for their jobs, including his, you know we're at a real inflection point. 🚨 I'm joined by Micha Kaufman, co-founder and CEO of Fiverr, to discuss why he delivered such a blunt warning instead of reassurance, the "steam engine on a carriage" problem we're facing with AI right now, why AI giving everyone superpowers means it gives no one superpowers, how velocity (not just speed) becomes the ultimate competitive advantage, what skills will actually matter in an AI-augmented world, and why he's more worried about society's response to displacement than the technology itself. 🤖💼

Why are startups racing ahead with AI while half of enterprises remain stuck in pilot purgatory? 🚀 I’m joined by Sasha Rubel, GenAI Policy Lead for AWS in EMEA, and Alexandru Voica, Head of Public Affairs at Synthesia, to discuss the widening two-tier AI economy, the four critical barriers holding companies back (infrastructure, regulation, funding, and skills), real-world impact stories from Rwanda to Ukraine, the rise of agentic AI, and why the future of work will be tech-enabled but fundamentally human-centered. 💡🤖 Find out more about Generative AI at AWS, click here: https://aws.amazon.com/ai/generative-ai/ #AWSPartnership #Sponsored

🤖 The Agentic Enterprise Revolution: Inside Salesforce's AI Strategy Why do 95% of AI pilots fail to reach production? The answer might surprise you. In this exclusive interview from Dreamforce 2025, I sit down with Adam Evans, Salesforce's Executive Vice President of AI and General Manager for AI, to uncover what it really takes to build a successful agentic enterprise. #Salesforcepartnership #Sponsored 🎯 What You'll Learn: ✨ The Three Critical Use Cases for AI Success Serving customers more effectively Boosting employee productivity with AI agents Implementing agentic workflows and operations 🏢 Real World Agentic Enterprise Examples How Engine (European travel company) is building with AI from day one Financial services firms using proactive AI to enhance client meetings Companies moving from experimentation to production scale ⚡ Why Most AI Projects Fail The truth behind the 95% failure rate for AI pilots The difference between creating demos and shipping production-ready agents What separates prototypes from scalable AI solutions 🛠️ Essential Platform Capabilities for AI Success Agent Force platform and tooling ecosystem Agent Force Fabric for monitoring multi-agent networks MCP (Model Context Protocol) and A2A (Agent to Agent) protocols Agent Script for hybrid deterministic and prompt logic Testing centers and observability tools 🌐 Managing the Multi-Agent Ecosystem How to control competing agents across your organization Agent Force Vibes for rapid agent development with natural language Policies and guardrails for agent networks Understanding network traffic and tool usage 💡 Practical Implementation Advice How to choose the most strategic use cases (not all 100 of them!) Designing performance measurement upfront Moving from experimentation to focused production Realizing actual business value from AI investments 🔍 Competitive Landscape Insights How Salesforce differentiates from OpenAI, ServiceNow, and SAP Why scalability and integrated tooling matter The importance of connecting agents across channels Analytics, memory capacity, and data management for AI Adam goes beyond the AI hype to provide actionable insights and real world examples that will help you avoid the pitfalls causing 95% of AI initiatives to fail. Whether you're just starting your AI journey or looking to scale existing pilots, this interview offers invaluable guidance. 🎤 Guest: Adam Evans, EVP of AI & GM for AI at Salesforce 🎙️ Host: Bernard Marr, Futurist & Best Selling Author #AI #AgenticAI #ArtificialIntelligence #Salesforce #AgentForce #MachineLearning #DigitalTransformation #BusinessStrategy #Innovation #Enterprise #Technology #Automation #AIAgents #Dreamforce #Dreamforce2025

💼 Cybersecurity is now a boardroom priority — and CFOs are at the center of it. In this conversation, I talk with Michael Wignall and Soriya Shariff from Microsoft about how finance leaders can navigate today’s AI-powered cyber threats and safeguard business resilience and profitability. #MicrosoftPartnership #Ad 🔹 Why cybersecurity is a core business risk, not just an IT problem 🔹 How CFOs can build strong partnerships with CISOs and CEOs 🔹 The financial impact of security by design and default 🔹 Smart budgeting for secure AI adoption and future growth This episode is packed with actionable advice for CFOs and business leaders ready to strengthen their organization’s security and resilience in the age of AI. 🔔 Subscribe for more insights on AI, technology, and the future of work. 💡 Explore more from Microsoft and Gov.UK on Digital Security Defense and on building business resilience and secure AI adoption: 👉Microsoft Digital Defense Report 2025: https://cdn-dynmedia-1.microsoft.com/... 👉 Cyber Security Toolkit for Boards - NCSC.GOV.UK: https://www.ncsc.gov.uk/collection/bo... 👉 Secure Future Initiative – Secure by Design | Microsoft: https://www.microsoft.com/en-us/trust... *Disclaimer: This interview took place before the launch of the new Microsoft Defense Report 2025, so references are made to the previous edition. The updated report has since launched and is available to read via the insight links above.

💼 At Dreamforce 2025, I sat down with Hannah Calhoon, VP of AI at Indeed, and learned what real AI transformation looks like at scale. Indeed serves 615 million job seekers across 60 countries, and they're not just experimenting; they're systematically reimagining work with AI. #Salesforcepartnership #Sponsored  📊 The measurement-first approach:  Hannah's philosophy is refreshingly practical: "95% of enterprise AI pilots generate zero business value. My job is making sure we're in the 5%." Every department at Indeed picks metrics that matter, then tracks AI's impact relentlessly. Legal cut turnaround time by more than half. Over 80% of software engineers now use AI coding assistants, dramatically improving velocity and code quality. 🤖 Real use cases, real impact:  Take employer support. Linda West, VP of Business Systems, shared that 22% of requests were tied up in routine onboarding and account verification. Now Agentforce agents handle these autonomously - employers can ask in natural language about flagged issues and get guided through resolution in real time. Data Cloud and MuleSoft provide the context agents need for accurate, instant support. 🎯 The adoption secret:  "You can't just throw AI at people," Hannah explained. While 10-20% are natural early adopters, real transformation requires function-specific training. Indeed doesn't just give tools - they show marketers, lawyers, UX designers exactly which three tools to use and the five most useful ways to use them in daily workflows. The result? 75-80% of Indeed's 11,000 employees now use AI daily or weekly, with 80%+ satisfaction. 💬 Honest about the journey:  What I appreciated most was Hannah's candor. Some experiments fail. Employees are understandably concerned. The technology evolves faster than anyone predicted. Indeed's commitment? "We're going to bring you along. We'll give you the tools and training so whether your next job is at Indeed or elsewhere, you're ready for this AI revolution." 🔮 On the future of work:  Indeed's economics team has a unique vantage point - they analyze millions of job postings and resumes. Their finding? AI skills are mentioned in low single-digit percentages of postings. About 50% of jobs will see moderate AI transformation, but it's primarily human-AI collaboration, not replacement. "Most people won't become AI engineers - they'll use AI-enhanced versions of tools they already know." 💡 Hannah's advice for any transformation: Tie AI to metrics that already matter to your business Don't wait for perfect data - start experimenting with what you have Invest heavily in role-specific education (more than you think) Be honest with employees about uncertainty and change 🚀 The vision:  Indeed is exploring 100 different Agentforce applications to systematically accelerate processes and free teams from repetitive work. The ultimate goal? Cut job seeker hiring time by 50% - accelerating opportunity for millions of people worldwide. This is the Agentic Enterprise in action: specific use cases delivering measurable value, guided by a transformation strategy that brings every employee along. Not just efficiency - real impact on people's lives.

Are we approaching AI development all wrong? In this eye-opening conversation, Dr. Sean Kennedy from Nokia Bell Labs challenges four widespread beliefs that are actually slowing down AI innovation. 🔍 What We Cover: Myth 1: Regulation Kills Innovation Discover why uncertainty, not regulation itself, is the real barrier to AI progress and how Nokia's six pillars of responsible AI (fairness, reliability, privacy, transparency, sustainability, and accountability) provide a framework for moving forward with confidence. Myth 2: Scaling Models Will Lead To AGI Learn why simply making AI models bigger won't achieve artificial general intelligence and why we need "Gen AI Plus," combining fast intuitive thinking with symbolic reasoners, knowledge graphs, and physical world models. Myth 3: General Models Create Maximum Value Understand the hidden costs of general AI models and their impact on economic divides, particularly in rural communities versus metropolitan areas. Myth 4: More Data Equals Better AI Find out why quality trumps quantity when it comes to data and how medium-sized language models trained on clean, proprietary data can outperform massive general models while being cheaper and more sustainable. 💡 Key Insights: ✅ How to build responsible AI frameworks that enable rather than constrain innovation ✅ The future of AI lies in hybrid systems, not just bigger models ✅ Physical world models are essential for the next leap in AI capability ✅ Why companies need to think beyond immediate metrics to societal impact Dr. Sean Kennedy leads artificial intelligence research at one of the world's most prestigious innovation labs. His work spans AI-native networks, generative AI applications, and responsible AI development. 🎯 Perfect for business leaders, technologists, AI practitioners, and anyone interested in understanding where AI is really headed and what actually matters for progress. #Ad #ArtificialIntelligence #AI #AGI #MachineLearning #ResponsibleAI #GenerativeAI #AIEthics #NokiaBellLabs #TechInnovation #FutureOfAI #BusinessStrategy #DigitalTransformation #AIRegulation #DataScience #AIResearch #TechnologyTrends #Innovation #BernardMarr

Artificial intelligence promises to transform everything, yet it could also stall progress if we get it wrong. 🤖✨ In this conversation, I’m joined by Carl Benedikt Frey, Oxford economist and author of the new book "How Progress Ends", to explore why technological progress is never guaranteed and how AI could fuel growth or risk stagnation. We discuss the two phases of innovation, the impact of regulation, the battle between centralised and decentralised models in the AI race, what leaders must do to encourage experimentation, and how inclusion shapes the future of discovery. 🌍🚀

Surgery is being transformed before our eyes by robotics and AI 🤖🧠. I’m joined by Dr. Mark Slack, co-founder and Chief Medical Officer of CMR Surgical, to explore how surgical robots are making keyhole procedures more accessible, the role AI plays in training and decision support, the future of autonomous surgery, and what this all means for global healthcare 🌍💉

AI is changing how we live, work, and even how we think 🧠✨ In this episode, I am joined by Deepak Chopra, world-renowned pioneer in integrative medicine and bestselling author, to discuss his AI twin, the role of AI in self-reflection and wellbeing, consciousness, how technology shapes longevity and healthspan, and the risks and opportunities AI brings for humanity 🌍💡