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Unlock the potential of AI Ops in data centers with insights from Shean Leigon, a senior product manager at Juniper Networks. Discover how AI operations, often seen as mystical, are instead practical tools that can enhance network engineering, especially in wireless and access layers. Shean delves into Juniper's strategic integration of AI through platforms like Mist and Marvis, offering a roadmap for data centers eager to embrace enhanced automation and reliability without succumbing to hype.

Explore the nuances of Juniper's Apstra solution, designed to ensure your network's intended state aligns impeccably with its actual state. Apstra utilizes a cutting-edge graph database to maintain a clear network topology, effectively managing challenges like cabling mismatches and day-two operations. With Marvis, the Virtual Network Assistant, the complexity of data is transformed into intuitive insights for network operators, streamlining issue resolution and improving communication within organizations. Shean emphasizes the importance of service mapping in reducing downtime and highlights the tools that empower network engineers to tackle application issues with confidence.

As the episode unfolds, the discussion tackles the integration of new security solutions in large enterprise environments, spotlighting the transformative potential of AI Ops in simplifying data correlation. Shean shares advancements in predictive analysis and impact assessment within data centers, underscoring the critical role of service awareness in prioritizing crucial actions. The conversation wraps up with a look at AI and automation's role in capacity planning and network maintenance, encouraging a healthy skepticism while acknowledging AI as a significant ally in the evolving landscape of network management.

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