300 sensors per car. 24 races. Zero margin for error.

AWS & @F1 built an agentic AI solution that resolves critical issues up to 86% faster, so engineers focus on the future, not the logs.

Oct 5, 2026 · 4:06 PM UTC

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Replying to @awscloud
@F1 Learn more: go.aws/47FpcE4
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@awscloud @F1 86% faster than what exactly
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@awscloud @F1 so when does the agent start telling the driver they missed the apex
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@awscloud @F1 Any other Data Scientist with automotive interests? This might just be the highest of our dream job… right?
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@awscloud @F1 base:0x9818b6c09f5ecc843060927e8587c427c7c93583
.@trize_io has joined the @CantonFdn's Collateral Subcommittee, chaired by @The_DTCC.

The subcommittee brings together leading financial institutions, market infrastructures and industry bodies to set the legal, data and technical standards for tokenized collateral on tlement layer now supporting trillions in monthly institutional volume.

T-RIZE will contribute to two core workstreams: Cross-Application Collateral Mobility and Tokenized Repo & Financing, bringing a North American capital markets perspective.

We are proud to be part of this work alongside the DTCC, @ISDA , @BNYglobal, @EuroclearGroup, @Broadridge and more.

#CantonNetwork #Tokenization #Collateral
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@awscloud @F1 As a global cloud service provider, does your company not have any customer support staff? A support ticket was submitted six days ago, yet there has been no response; meanwhile, billing charges continue to accrue, but the account remains inaccessible.
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@awscloud @F1 レース中のログ調査を速める事例として興味深いです。企業のAI導入を見る際も、モデルの性能だけでなく「人が原因を調べ、判断する時間がどれだけ減ったか」を分けて測ると、現場での価値が見えやすそうですね。
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@awscloud @F1 You can do it when you want to
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