Staging environment

Pricing Inference: How to explain AI tradeoffs to leadership

Hosted by Jai Bhagat

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Make Safer AI Decisions
Jai Bhagat and Nicole Mercede
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What you'll learn

Translate technical tradeoffs

Turn latency, cost, quality, privacy, and safety concerns into decision-relevant options.

Frame uncertainty clearly

Explain what is known, what is untested, and what would reduce risk without pretending the answer is certain.

Recommend a next move

Use a concise decision brief format for pilots, model choices, and production-readiness conversations.

Why this topic matters

AI decisions often stall when technical nuance gets translated into vague risk or hype. In this lightning lesson, we will turn quality, cost, latency, privacy, and safety evidence into a clear leadership decision: ship, pause, narrow scope, or measure more.

You'll learn from

Jai Bhagat

Director of AI Education at A+ Active

Teaching is the love of my life. I've taught meditation classes at Madison Square Garden, taught systems at Parsons School of Design and now I livestream myself learning to write kernels and advanced programming for GPUs and AI workloads.

Jai believes that with love and imagination that anything is possible.

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