Episode 21 - AI Governance

If your organization is exploring or already using generative AI, this episode is a must-listen.

Without proper governance, even the most promising AI initiatives can quickly lead to sensitive data leaks, surprise six-figure bills, compliance violations, or outputs that erode customer trust. Gartner predicts that up to 40% of agentic and advanced AI projects will be scrapped by 2027 due to governance gaps.

We sat down with our colleague Andy Mears to break down a practical, fast-to-implement approach to AI governance.

1/ How to form a cross-functional Steering Committee

2/ Four essential initial policy areas:

- Content Safety & Acceptable Use

- Data Handling, Privacy & PII Protection

- Model Selection, Approval & Fairness

- Cost Management & Resource Allocation

3/ Quick wins using powerful AWS tools:

- Guardrails for Bedrock

- Bedrock Model Evaluations

- AWS Budgets

This isn’t a months-long theoretical project. You can put real governance guardrails in place in hours and start iterating from there.

You can find Andy on LinkedIn at: https://www.linkedin.com/in/andrewmears1/

As always, let us know if you have ideas for future episodes, and what you’d like to hear us talk about!

Paul Papasavvas - ⁠⁠https://www.linkedin.com/in/paul-papasavvas/⁠⁠
Paul Varnedoe - ⁠⁠https://www.linkedin.com/in/paulvarnedoe/

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