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Practical AI

Practical AI

著者: 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
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  • Reimagining actuarial science with AI
    2025/07/25

    In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation.

    Featuring:

    • Igor Nikitin – LinkedIn
    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X

    Links:

    • Nice Technologies

    Sponsors:

    • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalai
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    41 分
  • Agentic AI for Drone & Robotic Swarming
    2025/07/15

    In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.

    Featuring:

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

    Links:

    • ROS - Robotic Operating System
    • Gazebo
    • Hugging Face Agents Course
    • Swarm Robotics | Wikipedia


    Chris's definition of Swarming:
    Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.
    © 2025 Chris Benson

    Sponsors:

    • Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
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    46 分
  • AI in the shadows: From hallucinations to blackmail
    2025/07/07

    In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today’s models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation.

    Featuring:

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

    Links:

    • Agentic Misalignment: How LLMs could be insider threats
    • Hugging Face Agents Course

    Register for upcoming webinars here!

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    45 分

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