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Practical AI

Practical AI

By: Practical AI LLC
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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!All rights reserved
Episodes
  • AIUC-1: Building trust in AI agents
    Jun 25 2026

    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, X

    Links:

    • Artificial Intelligence Underwriting Company

    Sponsors:

    • Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai
    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
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    45 mins
  • Zero Trust for AI Agents
    Jun 11 2026

    As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.

    Featuring:

    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Zero Trust for AI Agents
    • OWASP GenAI Project

    Sponsors:

    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
    Show More Show Less
    47 mins
  • Breaking down the 2026 Stanford AI Index Report
    Jun 4 2026

    AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human.

    Featuring:

    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • The 2026 AI Index Report

    Sponsors:

    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
    Show More Show Less
    47 mins
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