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Business Value of Agentic AI

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Business Value of Agentic AI

By: Wolfgang Beer
Narrated by: Virtual Voice
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Explore the Cutting Edge of AI in the Age of Intelligent Agents

Dive into the latest breakthroughs shaping the future of artificial intelligence in this compelling issue focused on Agentic AI, interoperability protocols, governance, and real-world applications. Discover how Anthropic's innovations sparked a new wave of smart agent interaction, and how Google's Agent2Agent Protocol (A2A) redefines agent interoperability—challenging the rising Model Context Protocol (MCP) standard now adopted by OpenAI and embraced by platforms like mcp.so, which catalogs over 500 new MCP servers daily.

Learn how GitHub Copilot's new 'Agent Mode' transforms developer workflows with advanced MCP support and premium access to powerful LLMs. Understand the growing role of AI governance, with insights into NIST’s AI Risk Management Framework and the emerging challenges of agent-driven decision-making in businesses and public institutions.

This issue also highlights Meta’s Llama 4 model, the practical benefits of small language models for businesses, and the darker side of generative AI, including alarming stories of fraud, disinformation, and document forgery.

Finally, explore how the Kubernetes community is integrating Agentic AI into the cloud-native ecosystem, empowering DevOps and platform teams with scalable, intelligent automation.

Whether you're an AI enthusiast, developer, or tech strategist, this issue is your essential guide to understanding and navigating the rapidly evolving world of generative and agentic AI.

This Loops Weekly Issue discusses the following topics:

  1. The Rise of Agentic-AI
  2. Introducing the Agent2Agent Protocol
  3. The MCP Phenomenon
  4. The MCP Community Hub
  5. GitHub Copilot's 'Agent Mode'
  6. Generative AI and Governance
  7. Agentic-AI and Decision Making
  8. The Business Potential of Small Language Models
  9. Meta's Introduction of Llama 4
  10. The Dark Side of Generative AI
  11. Kubernetes and Agentic AI in Cloud-Native Systems
Automation & Robotics Computer Science Engineering Business Technology
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