Total Network Operations TNO007: Good Foundations Are Key To Leveraging AI for Network Operations
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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.
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AI/ML Goals for Network Operations
- Focus on improving correlation between infrastructure layers and application behavior using AI/ML.
- Prioritize identifying problems and improving consistency, resiliency, and design proactively.
Data Consistency for AI/ML
- Ensure data consistency when feeding information to AI/ML systems for accurate learning.
- Inconsistent data can lead to misinterpretations and unreliable outcomes.
Belts and Suspenders Approach
- Implement a "belts and suspenders" approach, focusing on foundational data hygiene for AI/ML.
- Ensure accurate device counts, standardized configurations, and consistent data sources like SNMP and flow.