@FinanceYF5: 2/ [Carol S. Scott · Microsoft] Steers $7 billion Azure & AI business, responsible for Copilot and Azure OpenAI enterprise deployment in Europe, Africa, and Middle East. Her judgment: The winner in the AI era is not the company that adopts AI earliest, but the one that runs the fastest.

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Microsoft executive Carol S. Scott steers the $7 billion Azure & AI business, responsible for Copilot and Azure OpenAI enterprise deployment in Europe, Africa, and the Middle East, and believes that the winner in the AI era is the fastest company, not the earliest adopter.

2/ [Carol S. Scott · Microsoft] Steers $7 billion Azure & AI business Responsible for Copilot and Azure OpenAI enterprise deployment in Europe, Africa, and the Middle East Her judgment: The winner in the AI era is not the company that adopts AI earliest, but the one that runs the fastest. https://t.co/KxZ2octiaf
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2/ [Carol S. Scott · Microsoft]

At the helm of the $70B Azure & AI business
Responsible for the enterprise rollout of Copilot and Azure OpenAI in Europe, Africa, and the Middle East

Her take: In the AI era, the winner won’t be the earliest adopter—it’ll be the fastest mover. https://t.co/KxZ2octiaf

1/ The AGI Summit SF 2026 speaker lineup is out.

Microsoft, Coinbase, OpenAI, Google DeepMind, and a16z affiliates are all in.

This year’s lineup is truly stacked.

2/ [Carol S. Scott · Microsoft]

At the helm of the $70B Azure & AI business
Responsible for the enterprise rollout of Copilot and Azure OpenAI in Europe, Africa, and the Middle East

Her take: In the AI era, the winner isn’t the company that adopts AI first—it’s the one that moves fastest.

3/ [Chintan Turakhia · Coinbase]

Leading a 1,000-person engineering team that’s actually using AI.
PR review time went from 150 hours down to 15.
And they pulled off a legendary move: 70 PRs merged in 15 minutes.

His message: Stop talking about AI adoption—go solve problems.

4/ [Prakhar Bhargava · OpenAI]

Responsible for bringing OpenAI’s most cutting-edge models to the real world.
From research to enterprise deployment, he owns the entire pipeline.

“No matter how powerful the model, if it doesn’t get used, it’s zero.”

5/ [Yichong Xu · Google DeepMind]

Co-author of the G-Eval paper, 8000+ citations.
Using LLMs to evaluate LLMs—he’s a pioneer in this direction.

AI is getting more powerful, but how do you measure how powerful it really is? This talk has the answers.

6/ [Scott Clark · Distributional]

Backed by a16z + Two Sigma for AI reliability.
Founder of SigOpt, acquired by Intel in 2020.

His analogy is spot on:
“Everyone wants a faster car, but what you actually need is a Honda Civic that starts every time.”

July 18–19, Palace of Fine Arts, San Francisco

5 tracks: Enterprise adoption, Engineering in practice, Model rollout, AI evaluation, Reliability.

Interested? Use code WILL for a discount:
http://luma.com/agisummit2026?coupon=will…

Which session are you most excited about?

Learn more:

That’s all.

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