Category: ai Episodes

Most recent episodes from podcasts in the ai category.

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Showing 21-30 of 111

Why Enterprise AI Economics Are Changing thumbnail

The Reasoning Show

Why Enterprise AI Economics Are Changing

24 May 2026

The transition from theoretical AI understanding to operational enterprise implementation underscores challenges in AI economics, generative AI's evolution through phases involving rising costs, pricing disparities, and the need for outcome-driven governance and strategic infrastructure investment.

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Hermes Agent: Agents that grow with you thumbnail

Practical AI

Hermes Agent: Agents that grow with you

21 May 2026

Noose Research's mission to democratize AI through open-source tools like the Hermes Agent emphasizes efficiency, distributed training, ethical alignment, and agentic systems, while navigating challenges like monopolization, geopolitical competition, and the balance between open-source ideals and commercial interests, alongside debates on AI's creative limits and societal impact.

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Can AI Agents be held Accountable? thumbnail

The Reasoning Show

Can AI Agents be held Accountable?

20 May 2026

The integration of AI into enterprise processes faces challenges like accuracy, accountability, and embedding agents into operations, with a focus on user-friendly platforms, regulatory compliance in finance, multi-agent systems, data governance, and balancing AI efficiency with human expertise.

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The Hidden Security Risks of AI Coding Agents thumbnail

The AI Native Dev

The Hidden Security Risks of AI Coding Agents

19 May 2026

Agentic systems introduce heightened security risks through text-based interactions enabling malicious intent encoding, sensitive data access, untrusted inputs, and external system communication, requiring mitigation via SCA, restricted agent access, dynamic analysis, and balancing security with productivity through transparency and adapted security frameworks.

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Enabling AI Governance for M365 thumbnail

The Reasoning Show

Enabling AI Governance for M365

17 May 2026

The text highlights the transition from broad AI market trends to practical Microsoft 365 AI integration challenges, emphasizing governance as dynamic "traction control," security risks, user education, and the need for updated data strategies to manage AI workflows effectively.

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Showing 21-30 of 111