Navigating AI Advancements in Network Engineering - C2C035

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Discover the captivating journey of John Capobianco from the factory floor to the forefront of AI technology at Cisco on this episode of Cables2Clouds. John shares his inspiring path, detailing how his early fascination with technology and subsequent mastery of programming languages like Ansible and Python laid the groundwork for his current role in network automation and AI. Listen as he recounts his experience with early access to ChatGPT's API and discusses cutting-edge advancements in AI such as Retrieval-Augmented Generation (RAG) and the innovative Raptor approach.
Join us as we navigate the intricate world of AI integration within network operations and the ongoing debate between cloud and on-premises solutions. Using Cisco's AI Security Assistant as a real-world example, we highlight how AI is transforming complex IT tasks into more manageable processes. From prompt engineering to the unpredictable nature of AI outputs, we tackle the challenges and opportunities that come with adopting new technologies, drawing enlightening parallels to the tech shifts of the past.
Finally, we delve into the evolving role of security analysts in light of AI and automation, spotlighting Cisco's recent updates to the CCNA certification. Learn about the strategic importance of embedding AI knowledge early in an engineer's career and the safeguards necessary for handling sensitive data. We explore the implementation of Cisco's validated designs and the concept of a digital twin for networks, and share insights on fine-tuning AI models. Tune in to grasp how AI is poised to revolutionize network management, making operations more streamlined and elevating the role of IT professionals.

Check out the Fortnightly Cloud Networking News
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

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Розділи

1. AI and Hybrid Networking Discussion (00:00:00)

2. Opportunities and Challenges of AI (00:09:06)

3. Exploring AI Integration in Cisco Networking (00:14:46)

4. Fine-Tuned AI Models and Model Distribution (00:27:59)

5. Exploring Dynamic Routing Tables and AI (00:34:14)

6. Introduction to AI and Network Automation (00:42:14)