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Total Network Operations
TNO007: Good Foundations Are Key To Leveraging AI for Network Operations
Nov 1, 2024
Michael Wynston, Director of Network Architecture at Fiserv, shares his expertise on AI's transformative role in network operations. He emphasizes the importance of well-documented processes and version control for successful AI implementation. Discussions include the critical nature of reliable service delivery in financial services and how AI enhances infrastructure management. Michael advocates for a culture of lifelong learning, highlighting the need for continuous adaptation in tech environments to meet evolving challenges.
56:00
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Quick takeaways
- Successful AI implementation in network operations hinges on maintaining rigorous documentation and data hygiene to ensure accurate learning.
- Incremental integration of AI capabilities with clear use cases allows organizations to build trust and familiarity among operational teams.
Deep dives
The Critical Role of AI in Network Operations
Artificial intelligence (AI) is increasingly recognized for its potential impact on network operations. Networking professionals are exploring how AI can improve operational efficiency, consistency, and resilience. This includes leveraging AI and machine learning (ML) to enhance incident response by analyzing vast amounts of data and identifying patterns in infrastructure behavior. As AI continues to evolve, it promises to assist network operators in navigating complex environments with greater speed and accuracy.
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