GAEA Talks

GAEA Talks
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GAEA TALKS explores the transformative power of artificial intelligence. Featuring leading AI experts, industry leaders, professors, data scientists, policymakers, technologists, futurists, ethicists, and pioneers, the podcast dives into the latest AI trends, opportunities, and risks, examining AI’s evolving role in business and society. As AI continues to reshape industries and redefine possibilities, GAEA TALKS delivers deep insights into the challenges and breakthroughs shaping the future. Each episode features candid discussions with thought leaders at the forefront of AI innovation, cove

  1. 4D AGO

    #050 - Why Most Business AI Strategies Fail with Dr Richard Saldanha

    This podcast features a discussion with Richard Saldanha, who shares his background of spending 25 years in the City of London as a risk analyst, quant trader, portfolio manager and even serving as a global head of risk for a large investment manager. His career has focused on linking mathematics, problem-solving and real-world issues. He has an academic background, holding a doctorate in graph theory and multivariate statistics from the University of Oxford. Richard is a Teaching Fellow in the School of Economics and Finance at Queen Mary University of London, where he teaches statistical machine learning with applications in finance at postgraduate level.Richard is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and a Fellow and Advanced Practitioner in Artificial Intelligence of the Institute of Science and Technology – FIScT(AI).Find out more about Richard's work at Queen Mary University of London https://www.qmul.ac.uk/sef/staff/richardsaldanha.html, at the Institute of Science and Technology https://istonline.org.uk/ist-artificial-intelligence-training/ and for the Acdemic Speakers' Bureau at The London School of Economics and Political Science https://www.academicspeakersbureau.com/speakers/richard-saldanha.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    51 min

  2. JAN 27

    #049 - Decoding Enterprise AI Governance with Oliver Patel

    This episode explores how leaders, organisations, and individuals should think about AI beyond hype, focusing on governance, ethics, risk, and human responsibility. Oliver Patel shares deep insight into how AI should be used intentionally, not blindly, especially in high-stakes decision-making environments like enterprise, government, and education. The conversation unpacks what AI really is, where its risks come from, why context matters more than capability, and how human judgement, authenticity, and experience remain irreplaceable. Ultimately, this is a grounded, forward-looking discussion about how to work with AI intelligently without outsourcing thinking, values, or accountability.Oliver Patel is a leading expert in AI ethics, governance, and responsible technology, currently serving as Head of Enterprise AI Governance at AstraZeneca. His career spans academia, public policy, and industry, including research roles at University College London and work on international data policy within the UK government during the post-EU transition period. With a background in philosophy and public policy from the London School of Economics, Oliver has been at the forefront of shaping AI governance as a professional discipline, advising organisations on how to deploy AI responsibly, manage risk, and align emerging technologies with human values, legal obligations, and societal impact.Pre-order Fundamentals of AI Governance here:https://aigovernancebook.com/Click to view the Enterprise AI Governance newsletter: https://oliverpatel.substack.com/View Oliver Patel's LinkedIn profile: https://www.linkedin.com/in/oliver-patel/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    1h 10m

  3. JAN 24

    #048 - Become the Leader AI Cannot Replace with Nichol Bradford

    This episode explores the deep and often overlooked relationship between artificial intelligence and human potential. Nichol Bradford brings a long-term perspective on technology, drawing from her background in gaming, investing, and human-centred innovation to argue that AI’s true value lies not in efficiency alone, but in enhancing agency, creativity, and connection.The conversation moves beyond hype to examine how AI is reshaping work, leadership, and society itself - dissolving traditional roles, redefining competition, and forcing organisations to rethink what value creation really means. Central themes include human agency, belonging, adaptation versus adoption, and why the future of work will depend on teams, learning cultures, and leaders who can navigate uncertainty.Ultimately, the episode makes a compelling case that while AI can remove constraints, it cannot replace meaning. As synthetic content grows and automation accelerates, humans will increasingly seek what only other humans can provide: purpose, trust, creativity, and choice.Nichol Bradford is a technology investor, advisor, and long-time advocate for human-centred innovation. She is the co-founder of an early-stage venture fund focused on “human tech” — technologies designed to help people heal, grow, and thrive — and the founder of Human Tech Week, a global gathering exploring the intersection of AI, health, work, and cities.With over two decades of experience across consumer technology, gaming, and digital platforms, Nichol previously led major operations in China and worked on large-scale technology businesses and mergers. She now advises global organisations on the integration of AI and human intelligence, helping leaders understand how emerging technologies reshape agency, leadership, and value creation.Her work sits at the intersection of AI strategy, organisational design, and human potential - making her a leading voice on how societies and businesses can adapt responsibly in an era of rapid technological change.Find out more at nicholbradford.comThe GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    1h 1m

  4. JAN 14

    #047 - The True Story Behind AI Actress Tilly Norwood with Eline Van Der Velden

    This episode explores the future of creativity in the age of AI through the lens of actress, physicist and producer Eline Van Der Velden, creator of AI character Tilly Norwood. The conversation covers her journey from musical theatre and physics into film production, her experiments with AI actors, and the backlash surrounding them. Rather than focusing on fear, the episode reframes AI as a creative amplifier - comparing it to past technological shifts like the industrial revolution, robotic surgery and digital publishing. They dive into ethics, copyright, environmental impact, and how AI could democratise storytelling while preserving human creativity. Ultimately, it’s about adaptation, opportunity and how artists can thrive rather than be replaced.Eline Van Der Velden is an actress, physicist and producer, and the founder of production company Particle6. Born in Curaçao and trained in musical theatre before studying physics, Eline has built a unique career bridging science and storytelling. She previously starred in and created award-winning comedy character Miss Holland, later commissioned by the BBC, and has worked across film, TV and digital production.In recent years, Eline has become a leading voice in AI-driven creativity, creating the controversial AI character Tilly Norwood to explore how technology can amplify - not replace - human creativity. With experience spanning physics, acting and production, she brings a rare multidisciplinary perspective to the future of entertainment, ethics and innovation in the AI era.To see more of Eline's work and Particle6, visit https://www.particle6.com/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    1h 3m

  5. JAN 6

    #046 - From Pilots to Profit: Enterprise AI in 2026 with Graeme Scott

    This episode is a deep, strategic conversation about the next phase of AI adoption in business, moving beyond surface-level automation and failed proof-of-concepts. Graeme Scott reframes AI not as a tool for short-term efficiency, but as a long-term infrastructure decision rooted in trust, transparency, human expertise, and real-world context. The discussion explores why many 2025 AI initiatives failed, how fear-driven adoption created hidden risk, and why 2026 will mark a shift toward accountable, domain-specific, and human-augmented AI systems. Key themes include trust vs black-box AI, data sovereignty, agentic architectures, the limits of large language models, and the importance of geo-temporal context in decision-making. The episode also challenges the idea that AI will replace humans, arguing instead for augmentation at scale - where machines handle complexity and humans retain judgment, ethics, and creativity. It’s a forward-looking conversation for leaders who want AI to actually deliver value, not just headlines. Graeme Scott is a technology founder, strategist, and host of GAEA Talks, where he explores the real-world impact of artificial intelligence with leading thinkers, academics, and industry leaders. With a background spanning music, film, design, and enterprise technology, Graeme brings a rare interdisciplinary perspective to AI - viewing it not as a standalone tool, but as part of a broader system involving people, culture, risk, and decision-making. As the founder of GAEA AI, Graeme focuses on geo-temporal intelligence, risk, resilience, and trust-based AI systems designed for enterprise environments. His work centres on helping organisations move beyond surface-level automation toward AI architectures that are transparent, scalable, and human-augmented. Through both his company and the podcast, he challenges conventional AI narratives and advocates for responsible adoption that delivers long-term value rather than short-term hype. The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    56 min

  6. 12/29/2025

    #045 - Beyond POC: Implementing Enterprise AI in the Real World with Sumitro Ghatak

    This episode explores what it really takes to move AI from hype to reality inside enterprise environments. Host Graeme Scott is joined by AI architect and data science leader Sumitro Ghatak to unpack why most AI proof-of-concepts fail, the hidden risks of rushing agentic and generative AI into production, and why trust, governance, cost, and energy usage matter as much as capability. The conversation spans AI singularity, hallucinations, enterprise risk, ROI, foundational machine-learning knowledge, and the need for a new AI leadership function inside organisations - ultimately reframing AI not as a replacement for people, but as augmented intelligence that drives sustainable growth.Sumitro Ghatak is a Lead Data Scientist and AI Architect for IBM, with over a decade of experience designing and deploying large-scale AI systems across global enterprises. With deep expertise spanning traditional machine learning, generative AI, and agentic systems, Sumitro has worked across industries in Europe, Asia, and the United States, helping organisations move AI from proof-of-concept into real-world production.An IEEE Senior Member and active reviewer for international research conferences, Sumitro also contributes to intellectual property development and AI governance initiatives. His work focuses on building responsible, scalable AI systems that balance innovation with trust, security, and long-term business value - making him a leading voice on how organisations should adopt AI without falling victim to hype.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    1h 11m

  7. 12/23/2025

    #044 - AI in Business: Why Everyone Will Need to Think Like a CEO with Ben Legg

    This episode features Ben Legg, former Google COO, and explores the AI revolution through the lens of work, value, leadership, and human identity. Drawing on Ben's decades of experience across the military, consulting, big tech, and global leadership, the conversation examines how AI is reshaping not just industries, but how humans define work, purpose, creativity, and status. The discussion moves beyond hype to address the deeper structural shifts underway - from the fractionalisation of jobs and the rise of portfolio careers, to AI-driven marketing, personalised economies, and the future role of CEOs and leaders. At its core, the episode asks a fundamental question: how do humans stay valuable, fulfilled, and adaptable in a world where intelligence and production approach zero marginal cost?Ben Legg is a seasoned technology executive and an expert on the future of work and artificial intelligence. His career spans leadership roles across the military, global consulting, consumer brands, and big tech - including senior positions at Google, Coca-Cola, and McKinsey. Today, Ben runs a portfolio career advising CEOs, boards, and investors, while also helping organisations understand how AI, data, and technology are reshaping business models and leadership. He is also the co-founder of the Portfolio Collective, a global community supporting professionals in building flexible, future-proof careers in an AI-driven world.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

    57 min

  8. 12/17/2025

    #043 - Convergence: The Future of AI Revealed with Jeremy Dalton

    This episode explores how businesses should really think about artificial intelligence beyond hype, headlines, and fear-driven adoption. Jeremy Dalton, founder of XRHQ and a global expert in emerging technologies, breaks down why AI initiatives often fail - not because of the technology, but because organisations forget to anchor innovation to real business problems and human outcomes.Ultimately, this episode is about sustainable innovation: how leaders can avoid costly hype cycles, design smarter AI strategies, protect institutional knowledge, and build long-term competitive advantage by aligning technology, people, and purpose.Jeremy Dalton is a globally recognised expert in emerging technologies and the founder of XRHQ, an AI-powered platform that tracks how organisations across industries are adopting technologies such as artificial intelligence, virtual reality, and advanced automation.At PwC, Jeremy was Head of Immersive Technologies and he managed to establish and scale the firm’s Immersive Technologies team globally, delivering over 150 projects across 50 countries. The work brought together multiple emerging technologies, including AI, VR, drones, and 3D web-based experiences, supported by research partnerships and strategic consulting for business leaders.His work has been cited by the World Economic Forum, The Economist, The Financial Times, and other global institutions. As a published author, his books have been translated into several languages and used by businesses and universities worldwide. Jeremy has also served as an industrial supervisor for PhD-level research, contributing to academic studies in emerging technology.

    56 min
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About

GAEA TALKS explores the transformative power of artificial intelligence. Featuring leading AI experts, industry leaders, professors, data scientists, policymakers, technologists, futurists, ethicists, and pioneers, the podcast dives into the latest AI trends, opportunities, and risks, examining AI’s evolving role in business and society. As AI continues to reshape industries and redefine possibilities, GAEA TALKS delivers deep insights into the challenges and breakthroughs shaping the future. Each episode features candid discussions with thought leaders at the forefront of AI innovation, cove

Information

  • Creator
    GAEA Talks
  • Years Active
    2025 - 2026
  • Episodes
    50
  • Rating
    Clean
  • Copyright
    © GAEA Talks
  • Show Website
    GAEA Talks

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