You Don’t Have an AIOps Problem—You Have a Data Opportunity with Michael Wynston

AI can’t fix bad data.

In this session from AI for Network Leaders – Powered by Selector, Michael Wynston breaks down a critical truth: the success of AIOps depends on the quality, consistency, and trustworthiness of your network data.

Using real-world lessons from Fiserv’s large-scale network transformation, he explores how teams can build a strong data foundation that enables AI to deliver meaningful, low-noise outcomes.

He covers:

• Why poor or inconsistent data undermines AIOps

• How Infrastructure as Code (IaC) creates a reliable source of truth

• The role of CI/CD pipelines in validating and maintaining network state

• How digital twin testing reduces risk and improves accuracy

• Why network engineers are key to shaping the data pipeline for AI

This session is a practical guide for teams looking to move beyond hype and build an operational foundation that allows AI to deliver real, measurable value.