Bernard Marr's Future of Business & Technology Podcast

AI agents are becoming one of the biggest topics in enterprise technology, but there is a critical challenge many organizations are still overlooking: context. In this conversation, I speak with Massimo Merlo from Elastic about why context engineering is becoming essential for the next phase of enterprise AI. We explore why powerful AI models are not enough on their own, why real-time enterprise data matters, and how businesses can make AI systems more useful, reliable and secure. We also discuss the debate around AI agents and the future of enterprise software. Will agents abstract away traditional software, or is the real story about where value is moving in the technology stack? As AI becomes more embedded in workflows, search, retrieval, observability, governance and data infrastructure all become increasingly important. See how Elastic makes context engineering possible at https://www.elastic.co/elasticsearch/context-engineering #sponsored In this interview, we cover: 🤖 The current state of enterprise AI 📊 Why many organizations are still stuck in pilots and demos 🧠 What context engineering means in simple business terms 🔎 Why search, retrieval and real-time data are critical for AI agents 🔐 How context helps make AI more reliable, secure and governed 🚀 What leaders should do now to prepare for the future of enterprise AI If you are interested in enterprise AI, AI agents, generative AI, data strategy, AI governance, context engineering or the future of business technology, this conversation offers a practical look at what comes next. #Sponsored #ElasticPartnership #EnterpriseAI #AI #ArtificialIntelligence #GenerativeAI #AIAgents #ContextEngineering #DataStrategy #AIGovernance #Elastic #FutureOfWork #BusinessTechnology #DigitalTransformation

AI is changing how we search, browse, shop, learn and make decisions online. But as AI becomes the new interface to the internet, one big question emerges: will AI break the internet, or make it better? 🌐🤖 In this conversation, I’m joined by Anthony Enzor-DeMeo, CEO of Mozilla, the company behind Firefox and one of the strongest voices for an open, trusted and user-controlled web. We explore how AI agents could reshape search, why the browser may become one of the most important AI layers, and what happens when AI systems start deciding what information we see, what products we buy and which sources we trust. Anthony also shares Mozilla’s perspective on choice, consent and transparency, including why Firefox is taking an independent approach to AI, why users should be able to choose their preferred AI models, and why “nothing creepy” should be a guiding principle for the future of online advertising. We also discuss the risks of a more closed internet, the importance of open source AI models, how AI could support global access to knowledge, and what business leaders can learn from Mozilla’s approach to building trust into products from the start. 🚀 In this episode, we cover: How AI is becoming the new front door to the internet Why AI agents could change search forever The role of browsers in the AI era How Firefox is approaching AI differently Why user choice and consent matter The future of AI-powered advertising The risks of hidden influence and sponsored AI recommendations Why open source AI models are important for access How business leaders can build trust into AI products What a healthier AI-powered internet could look like

In this interview from Bosch ConnectedWorld 2026, I speak with Dr. Tanja Rueckert, Member of the Board of Management and Chief Digital Officer at Bosch, about how AI is transforming industry and manufacturing. For many years, Industry 4.0 promised connected machines, better use of data and smarter factories. But according to Tanja, the real tipping point is happening now, as generative AI and agentic AI make it possible for machines to understand data, AI agents to trigger workflows and factories to become more self-adapting and self-optimizing. In this conversation, we explore how AI is changing the factory of the future, including the role of digital twins, industrial AI agents, human oversight and physical AI. Key topics include: 🤖 Why Industry 4.0 is evolving into AI-enabled manufacturing 🏭 What the factory of the future could look like 🧠 How engineering digital twins can become operational digital twins ⚙️ How AI agents can support maintenance, optimization and decision-making 👷 How jobs and skills will change as people work with digital teammates 🔐 Why safety, trust and human-in-the-loop control are critical in industrial AI 🚀 The future of robotics, software-defined systems and quantum computing Tanja also explains Bosch’s role in this transformation, drawing on its deep expertise in the physical world, from manufacturing and mobility to buildings, energy and consumer products. The big takeaway: AI in industry is moving beyond dashboards and connectivity. It is becoming embedded in the systems, machines and workflows that keep the physical world running. #Sponsored #BoschPartnership #BoschConnectedWorld #BCW26 #AI #ArtificialIntelligence #Manufacturing #Industry40 #PhysicalAI #AgenticAI #DigitalTwins #IndustrialAI #Robotics #FutureOfManufacturing #DigitalTransformation

Autonomous AI and agentic AI are moving from experiments into real enterprise workflows. But are businesses truly ready to let AI systems plan, decide and take action on their behalf? In this interview, I speak with Shayan Mohanty, Chief Data and AI Officer at Thoughtworks, about the next phase of enterprise AI and what leaders need to do now to prepare. We explore the shift from AI assistants and copilots to autonomous agents, why governance and accountability need to be built into the architecture, and how enterprises can move beyond proof-of-concept projects toward scalable, production-grade AI systems. Shayan also explains why competitive advantage in the AI era may come less from access to the latest model and more from orchestration, AI-ready data, responsible engineering and the ability to redesign work around intelligent systems. This conversation is essential viewing for CEOs, CIOs, CTOs, CDOs and business leaders who want to understand what autonomous AI means for enterprise transformation, governance, software development and the future of work. If you'd like to explore how enterprises are preparing for this next wave of agentic AI, Thoughtworks' latest white paper, The Agentic Enterprise, offers practical perspectives and real-world insights. https://www.thoughtworks.com/about-us/partnerships/cloud/aws/building-the-agentic-enterprise-ecosystem?utm_source=organic-influencer&utm_medium=influencer-marketing&utm_campaign=eai_tsi_rp-gl-pspt_rewire-for-agents_2026-05&utm_term=bernard-video-interview&utm_content=video #Sponsored Autonomous AI in the enterprise Agentic AI and AI agents AI governance and accountability Enterprise AI readiness Moving AI from pilots to production AI-ready data and orchestration The future of software development #AutonomousAI #AgenticAI #EnterpriseAI #AIagents #ArtificialIntelligence #AIGovernance #AITransformation #DigitalTransformation #Thoughtworks #AIworks #FutureOfWork #BusinessTechnology

How should we really talk to AI, and how can we use tools like ChatGPT, Claude and Gemini without losing our own judgment? In this episode of the Future Of Business And Technology podcast, I speak with Jamie Bartlett, author of How To Talk To AI, about one of the most important skills of the AI age: communicating well with intelligent machines. 🤖💬 We explore why prompt engineering is only part of the story, and why the real skill lies in developing better habits when using AI. Jamie explains why we should ask whether we need AI for a task in the first place, why the first answer from a language model should always be treated as a draft and how AI can become a powerful creative partner when we push it beyond bland, average responses. 💡 We also discuss the risks of AI sycophancy, where chatbots flatter us, agree with us and reinforce our assumptions. Jamie shares practical ways to challenge AI outputs, use AI as a devil’s advocate and avoid outsourcing our thinking to machines. 🧠 This conversation also covers AI in education, mental health, autonomous agents, privacy, creativity and the future of human judgment in a world where AI is becoming part of everyday work and life. If you want to understand how to use AI more effectively, how to get better answers from AI tools and how to stay in control while working with intelligent machines, this conversation is for you. 🚀 Topics Covered: How to talk to AI more effectively Why prompt engineering is really about better habits How to get better answers from ChatGPT, Claude and Gemini Why the first AI answer should be treated as a draft How AI can boost creativity and idea generation The danger of AI flattery and sycophancy How to use AI as a devil’s advocate Why we must protect human judgment AI in education, work and mental health The risks of autonomous AI agents How to use AI without becoming too dependent on it #AI #ArtificialIntelligence #ChatGPT #GenerativeAI #PromptEngineering #HowToTalkToAI #JamieBartlett #FutureOfWork #AITools #BusinessTechnology #AIEducation #AIProductivity #HumanJudgment #ClaudeAI #GeminiAI

AI is transforming business, work, leadership, education, healthcare, investing, and society. In this conversation, I sit down with Reid Hoffman, co-founder of LinkedIn, Manas AI and Inflection AI, founding team member at PayPal, pioneering investor in companies including OpenAI and Airbnb, author, podcaster, and one of the most influential thinkers in technology and entrepreneurship. We explore why Reid describes himself as a strategic optimist about AI, why leaders need to ask what could go right, and how AI could expand access to medical advice, legal support, education, government services, and personal productivity. 🤖 We also discuss the practical side of AI adoption inside organizations, including why so many companies get stuck in pilot purgatory, why AI should become part of everyday meetings and workflows, and how leaders can build a culture of experimentation and learning. Reid shares his views on AI agents, the future of work, the changing role of junior employees, agent management as a core skill, and why young people can turn AI fluency into a major career advantage. We also cover where competitive advantage comes from in an age of powerful foundation models, how AI is changing investing, why domain expertise still matters, and what AI could mean for healthcare and drug discovery. Finally, we explore the risks of AI, including cybercrime, social disruption, responsible deployment, and the debate around AGI and superintelligence. Reid explains why leaders need to move fast, learn continuously, and steer AI toward better outcomes for people, businesses, and society. 🌍 Topics covered include: AI and the future of work AI agents and agentic AI Reid Hoffman on Superagency AI strategy for business leaders How companies can move beyond AI pilots AI, healthcare and drug discovery AI skills for young people The future of jobs and junior roles Responsible AI adoption AGI, superintelligence and AI risk How AI will reshape organizations Strategic optimism and what could go right with AI #AI #ArtificialIntelligence #ReidHoffman #FutureOfWork #AgenticAI #AIAgents #BusinessStrategy #Leadership #Technology #Innovation #Superagency #GenerativeAI #AILeadership #FutureOfBusiness

🌍🤖 How is Google reimagining Search, Maps, and AI agents for the next era of technology? In this interview, I speak with Nick Fox, Senior Vice President of Knowledge and Information Products at Google, about the future of Google Search, AI Overviews, AI Mode, Google Maps, agentic AI, reasoning models, personal intelligence, digital trust, and how AI is transforming product development at scale. We explore how Google is enabling more natural and specific questions in Search, how AI can help people discover better answers faster, how Maps is becoming more context-aware, and how agentic AI may soon help with booking, research, and decision-making. We also discuss the future of online content, the role of advertising in AI-powered search, and why trust, transparency, and user choice matter so much in the next generation of AI products. This is a must-watch conversation for anyone interested in artificial intelligence, Google Search, AI agents, the future of Maps, digital advertising, product innovation, and where AI is taking us next. 📈💡 #Google #AI #ArtificialIntelligence #GoogleSearch #GoogleMaps #AIAgents #AgenticAI #GenerativeAI #FutureOfSearch #NickFox #BernardMarr #TechnologyTrends #DigitalTransformation #AIInnovation

Most businesses are now using AI. Far fewer are transforming with it. 🤖 In this episode, I sit down with Tanuja Randery, VP and Managing Director of AWS EMEA, to unpack the findings of AWS's latest Unlocking Europe's AI Potential report, one of the most comprehensive studies of AI adoption across European businesses, and explore what the findings mean for business leaders everywhere. We cover what the data actually shows about how companies are using AI, why most are stuck at the basic stage, and what it takes to move into truly transformative AI deployment. Tanuja shares real-world examples from companies like Ericsson and Debenhams, explains why agentic AI is the next major dividing line for businesses, and gives her honest assessment of the three barriers, skills gaps, regulatory fragmentation, and access to funding, that are holding organizations back from their full AI potential. We also get practical. Tanuja shares her top advice for CEOs who want to scale AI successfully, including why top-down commitment is non-negotiable and why keeping AI separate from core business strategy is one of the most common and costly mistakes leaders make. 💡 Whether you're a business leader, a technology professional, or simply trying to understand where AI is heading in 2026, this conversation is packed with insight and real data. 🕐 What we cover: 00:00 Introduction 02:00 Why AI adoption has reached a tipping point 05:00 The AI transformation gap and what it means for your business 09:00 Real-world examples of advanced AI adoption 13:00 Agentic AI and why it changes everything 17:00 The three barriers holding businesses back 22:00 What CEOs need to do to scale AI successfully 🔔 Subscribe for weekly conversations with the world's leading business and technology thinkers. 👉 Read the full AWS Unlocking Europe's AI Potential 2026 report: https://www.unlockingeuropesaipotential.com #ArtificialIntelligence #AI #DigitalTransformation #AIStrategy #FutureOfWork #BusinessLeadership #AgenticAI #AWS #AITransformation #CEOInsights #BernardMarr #TanujaRandery #Innovation #TechLeadership #AIAdoption

Is AI a threat to creative industries — or the most powerful tool artists have ever had? 🎨🤖 In this episode, I sit down with Manon Dave, AI futurist, technologist, and Head of Future World Design at BBC R&D, for a wide-ranging conversation on how artificial intelligence is reshaping entertainment, music, film, and the creator economy. Manon has collaborated with Will.i.am, Idris Elba, Snoop Dogg, and Hans Zimmer, and has built innovative music tech products used by artists around the world. Now, at BBC R&D, he's leading a team exploring how AI, immersive technology, and new formats can help one of the world's most iconic media institutions reach the next generation of audiences and creators. 🎵 In this interview, we cover: - Why AI is an enabler for creativity, not a replacement for it - How to think about AI as a creative collaborator, not just a tool - The AutoTune parallel — and what it tells us about where AI is heading - Real-world examples of adaptive, AI-powered experiences (including a collaboration with Will.i.am and Mercedes) - What BBC R&D's Future World Design team is actually building - Why consent and fair attribution are critical for the future of the creative industries - What ethical AI looks like in practice for artists and creators - How AI is shifting power dynamics between creatives, platforms, and audiences - Advice for young people entering creative industries in an AI-driven world - What entertainment will look like in 10 years 🔔 Subscribe for weekly conversations on the future of business and technology. 👍 If you found this valuable, please like and share — it helps others find conversations like this one. 📩 Want to work with me or learn more? Visit bernardmarr.com #ArtificialIntelligence #AI #CreativeIndustries #FutureOfWork #AIandCreativity #DigitalTransformation #BBCRandD #MusicTechnology #ImmersiveTech #ContentCreators #CreatorEconomy #AIEthics #FutureOfEntertainment #AItools #TechPodcast #BernardMarr #Innovation #MachineLearning #GenerativeAI #DigitalMedia

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 #DigitalTransformation

🚀 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

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

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

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 #LLM

💼 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.