Feature Friday: How to Track GitHub Copilot Adoption with Cortex Scorecards

Are you getting the most out of your GitHub Copilot investment? 🤖

In this week's #FeatureFriday, Cortex Engineer Aaron Warrick demonstrates how to turn "AI adoption" from a buzzword into a measurable metric. Using the CQL (Cortex Query Language) Query Builder, you can now pull real-time GitHub Copilot data into your service maturity scorecards.

In this video, we cover:

How to use the new AI Tools Analysis in the CQL Query Builder.

Tracking active user counts and adoption rates across engineering teams.

Building a level-based scorecard (50% - 75% - 90% adoption) to drive organizational change.

An overview of our new AI Readiness and Governance scorecards.

Timestamps:

0:00 Intro: Measuring AI ROI

0:12 Using the CQL Query Builder for AI Analysis

0:37 Metrics: Active Users & Adoption Rates

1:03 Building an AI Adoption Scorecard

1:24 AI Readiness & Governance frameworks

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