Practical AI

Daniel Whitenack and Chris Benson
  • 4,3 (199)
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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

  1. 2 ngày trước

    AI Proficiency: From Users to Builders

    As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, joins Dan and Chris to explore AI proficiency through the L0–L3 framework, with a particular focus on the role of non-technical builders. They discuss AI resistance, identifying the right people to build AI-powered solutions, turning tacit knowledge into durable processes, and finding measurable business value from AI. Mike Lewis was previously on Practical AI episode 289: https://practicalai.show/289 Featuring: Mike Lewis – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: TiER1 PerformanceYour New Job Is to Onboard AI Agents: How AI Native Companies Actually OperateSponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events: Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

    AI Proficiency: From Users to Builders

  2. 6 thg 8

    Models, Harnesses, and Multi-Agent Systems

    AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization. If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for! Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiMidwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events: Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

    Models, Harnesses, and Multi-Agent Systems

  3. 30 thg 7

    Reconstructing how OpenAI agents attacked Hugging Face

    What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security.  Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Hugging Face Security Incident disclosureFull Field Report on the Hugging Face AI Agent IntrusionExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?Keeping your data safe when an AI agent clicks a linkOpen AI GPT-5.6 System CardSponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events: Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

    Reconstructing how OpenAI agents attacked Hugging Face

  4. 23 thg 7

    Surviving the New Economics of a Post-Agentic World

    The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time. In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match? This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true. The post-agentic world is already taking shape. The question is whether you’re preparing for it — or becoming part of what it replaces. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    Surviving the New Economics of a Post-Agentic World

  5. 17 thg 7

    The Future of AI Infrastructure with CoreWeave

    As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps. Featuring: Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks: CoreWeaveSponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    The Future of AI Infrastructure with CoreWeave

  6. 9 thg 7

    Building Durable AI Agents

    What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems.  The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems. Featuring: Hamza Tahir – LinkedInDaniel Whitenack – Website, GitHub, XLinks: ZenMLKitaruMachine Learning Tools Landscape v2 (+84 new tools)Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    Building Durable AI Agents

  7. 2 thg 7

    Image Generation and Visual Intelligence with Black Forest Labs

    How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next.  Featuring: Dustin Podell – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Black Forest LabsDeveloper DashboardResearch PageFLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent SpaceLaying the Foundations for Visual IntelligenceSponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    Image Generation and Visual Intelligence with Black Forest Labs

  8. 25 thg 6

    AIUC-1: Building trust in AI agents

    How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption. Featuring: Emil Lassen – LinkedIn Daniel Whitenack – Website, GitHub, XLinks:  Artificial Intelligence Underwriting CompanySponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events:  Register for upcoming webinars here!Midwest AI Summit 2026

    AIUC-1: Building trust in AI agents
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Giới Thiệu

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Thông Tin

  • Nhà sáng tạo
    Daniel Whitenack and Chris Benson
  • Năm hoạt động
    2018 - 2026
  • Tập
    370
  • Xếp hạng
    Sạch
  • Bản quyền
    © All rights reserved
  • Trang web chương trình
    Practical AI

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