Episodios

  • Why AI upskilling is failing, and how you can fix it | Ep. 255

    Why AI upskilling is failing, and how you can fix it | Ep. 255
    Nov 18 2025
    In this episode of Today in Tech, host Keith Shaw is joined by Yvette Brown, co-founder of XPROMOS and a leading voice in generative AI education. They dive deep into the growing disconnect between AI adoption and employee readiness — with new research revealing that many AI projects are failing because upskilling efforts are falling short. Yvette breaks down: * Why relying on a “Debbie the AI gal” approach won't scale * How AI “work slop” is flooding organizations with low-quality content * What causes the “garbage in, garbage out” problem * Why iteration, specificity, and context are critical when prompting * The surprising power of tools like deep research and agentic AI pilots They also explore practical AI fluency tips for marketers, managers, and knowledge workers, plus discuss whether the holiday shopping season could be a breakthrough moment for consumer-facing AI agents. Don’t miss this episode if you care about: * Upskilling your team for AI success * Avoiding common prompt engineering mistakes * Using AI as a true collaborator — not just a shortcut * Navigating the rise of agentic AI safely Watch now and take on Yvette’s AI homework challenge: Ask an AI to analyze your job and help you work smarter.
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    46 m
  • The hidden legal dangers of AI hiring tools, agentic decision-making | Ep. 254

    The hidden legal dangers of AI hiring tools, agentic decision-making | Ep. 254
    Nov 11 2025
    As companies rush to implement AI and automated decision-making tools, they may be walking into a legal minefield. On this episode of Today in Tech, host Keith Shaw speaks with attorney Rob Taylor from Carstens, Allen & Gourley about the growing legal risks tied to agentic AI, automated hiring, and the rise of ADM (automated decision-making) regulations. Rob breaks down: * Why AI tools used in hiring and insurance may trigger liability * How companies are getting ADM compliance wrong * What laws already apply even without new AI regulations * Real-world examples like credit scoring, job screening, and sentiment analysis * Why disclosure, explainability, and data retention are essential * Who’s liable: the company or the AI developer? Chapters 00:00 Legal risks in AI and ADM 01:00 Common mistakes companies make 06:00 High-risk use cases: hiring, credit, insurance 10:00 Disclosure and consent pitfalls 15:00 Explainability and record-keeping laws 20:00 Unintentional bias in hiring algorithms 28:00 Who is liable: developer or deployer? 34:00 What future lawsuits might target 37:00 Fixing flawed AI governance 41:00 Litigation as the great teacher
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    45 m
  • Why Zero Trust is struggling, and how AI could save it | Ep. 253

    Why Zero Trust is struggling, and how AI could save it | Ep. 253
    Nov 4 2025
    Zero trust was once the leading cybersecurity strategy, but has it lost momentum? In this episode of Today in Tech, host Keith Shaw speaks with Morey Haber, Chief Security Advisor at BeyondTrust, about whether zero trust is failing or simply misunderstood. They explore why many companies struggle to implement zero trust effectively, the gap between intention and execution, and how vendor marketing may have added confusion to the conversation. Morey explains why identity and privileged access management are now critical, how lateral movement works during attacks, and why many AI agents are dangerously over-privileged. Topics include: The misconception that zero trust is a product How AI is reshaping the need for zero trust The role of identity in modern cybersecurity Real-world deployment challenges and mistakes Why secure-by-design is often an afterthought This episode is ideal for IT leaders, cybersecurity professionals, and anyone looking to better understand how zero trust fits into a world increasingly influenced by AI.
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    37 m
  • Why AI is thought of as a ‘friend’; could agents do your shopping? | Ep. 252

    Why AI is thought of as a ‘friend’; could agents do your shopping? | Ep. 252
    Oct 28 2025
    Are shoppers starting to trust AI like a person? Host Keith Shaw talks with Brett Leary of Accenture about research showing users treat GPT-style tools as trusted advisors — and how that shifts product discovery, brand loyalty, and the future of shopping agents.
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    44 m
  • AI in hiring and the new freelance economy | Ep. 250

    AI in hiring and the new freelance economy | Ep. 250
    Oct 14 2025
    AI is reshaping both sides of the job market—from how companies hire to how freelancers win work. In this episode of Today in Tech, host Keith Shaw talks with Dave Bottoms (SVP & GM of Marketplace at Upwork) about AI-powered hiring, instant interviews, the surge in demand for AI skills, and how freelancers can stay competitive without losing the human creativity and judgment that clients value. What you’ll learn: How AI is changing recruiting and interviews (speed, fairness, transparency) The freelance skills in highest demand (prompting, model training, AI integration) Smart ways freelancers use AI to boost productivity—without sacrificing quality Trust, bias, and the future role of AI agents in the freelance economy Watch to see how to thrive in the new freelance economy shaped by AI.
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    34 m
  • What most companies miss about AI readiness | Ep. 249

    What most companies miss about AI readiness | Ep. 249
    Oct 7 2025
    Most companies are racing to adopt generative and agentic AI — but many are skipping the most important steps. In this episode of Today in Tech, host Keith Shaw is joined by Prem Natarajan, EVP, Chief Scientist, and Head of Enterprise AI at Capital One, for a candid discussion about what true AI readiness looks like in the enterprise. Learn why flashy demos aren’t enough — and what organizations must invest in to move beyond experimentation: Why data quality, cloud architecture, and talent are non-negotiables How Capital One built its own AI agent platform (and why most companies can’t yet) The difference between outputs vs. outcomes in agentic AI What “human in the loop” really means in 2025 Why trust must be earned — by the technology The overlooked role of governance, risk, and strategic patience AI success starts long before the first model is deployed.
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    49 m
  • Quantum Computing in 2025: The tipping point is here | Ep. 248

    Quantum Computing in 2025: The tipping point is here | Ep. 248
    Sep 30 2025
    For decades, quantum computing seemed like science fiction — complex, mysterious, and always “in the future.” But in 2025, that narrative is changing. In this episode of Today in Tech, host Keith Shaw sits down with Murray Thom, VP of Quantum Technology Evangelism at D-Wave, to explore how quantum computing is already solving real-world problems. This includes workforce scheduling to materials science and even AI optimization. Learn why this isn’t a distant future technology anymore: The real reason 2025 may be the tipping point How companies like Ford and grocery chains are using quantum tech today Why quantum won’t replace classical computing — but will enhance it The surprising energy savings vs. supercomputers How quantum computing could help cure cancer, tackle climate change, and optimize AI training models
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    44 m
  • Agentic AI is expanding attack surfaces | Ep. 247

    Agentic AI is expanding attack surfaces | Ep. 247
    Sep 23 2025
    As enterprises embrace agentic AI, the cybersecurity challenges are multiplying. In this episode of Today in Tech, host Keith Shaw sits down with Lee Klarich, Chief Product Officer at Palo Alto Networks, to explore the growing concerns around AI security — from prompt injection and rogue agents to emerging attack vectors enabled by autonomous AI systems. Lee breaks down the three core risk categories facing companies in 2025: Misuse and lack of visibility into generative AI tools New attack surfaces opened by copilots and embedded agents The looming threat of AI-powered attackers and autonomous red teaming tools They also cover: The evolution of security from generative AI to agentic AI Real-world vulnerabilities already observed in agent communication protocols (MCP) Why discovery and control are the first steps in protecting AI deployments How security teams can evolve their playbooks without slowing down innovation The optimistic case for AI as a force multiplier for defenders—not just attackers Will the defenders stay one step ahead, or are we building systems we can’t control? This episode delivers must-watch insights for CISOs, security engineers, and tech leaders navigating the next phase of AI adoption.
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    44 m