(1/3) Cut cloud costs by 30% while accelerating AI innovation? Thomson Reuters did. But how? Thomson Reuters used AWS Transform to modernize 1.5M lines of code monthly, freeing resources for next-gen AI products. Ok, but what was the impact?

(2/3) The impact? Huge: + 30% cost reduction + 25%-plus faster time-to-market + 15%+ reliability gains

(3/3) Want to learn how AWS Migration & Modernization with agentic AI can accelerate your #DigitalTransformation?

@thomsonreuters Why does this person look like CGI

@thomsonreuters Fuck AWS...they are only after big corporate accounts and disregard small individual or startup accounts and treat then as shit! All individual and small businesses should boycottAWS and all the big corporations that use them. Had bad experience with them!

@thomsonreuters 1.5M lines/mo refactor? wild. but will those gains survive outages and regressions or is this a honeymoon phase? show the durability, not just the hype lol

@thomsonreuters 1.5M lines/mo? dawg show me post-migration latency, regressions & real AI launch cadenceotherwise that's just borrowed savings

@thomsonreuters Impressive results 30% cost reduction while scaling AI development shows the power of modernizing code at speed.

☁️ ✨

@thomsonreuters Cut Amazon cloud costs ‼️ If 200 drones with explosives and 35 missiles fall on Moscow only once the entire Russian Federation and the Russian regime disintegrate and collapse ‼️

@thomsonreuters Cloud costs cut by 30%? That's like finding money in your couch cushions, but better!

@thomsonreuters honest question though - 30% of what? because that number means completely different things depending on what the baseline was

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@thomsonreuters bold move - cutting costs and speeding AI, but show me the ROI.

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@thomsonreuters Bold move, 1.5M lines refactored monthly. what's the true ROI here?

@thomsonreuters Hope they didnt use redshift, or lambda, or...nat gateway

@thomsonreuters Modernizing 1.5M lines of code monthly is a serious engineering scale.

@thomsonreuters Nice numbers, mate. What's the split: infra vs dev velocity?

@thomsonreuters How do you justify all three percetages?

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@thomsonreuters どのように30%のクラウドコストを削減し、AI革新を加速するのか、トムソン・ロイターは実現しました。次世代のAI製品のためにリソースを解放するために、AWS Transformを使用して毎月150万行のコードを近代化しました。その影響は何でしょうか？

@thomsonreuters

@thomsonreuters Love to see real results-did they share any numbers on AI speed or product launches after the shift?

@thomsonreuters

@thomsonreuters

@thomsonreuters “Modernizing 1.5M lines of code a month is huge I'm curious what the biggest bottleneck was before AWS Transform.”

@thomsonreuters 面白い！効果的な方法ね。

@thomsonreuters

@thomsonreuters “The real impact is probably in how quickly they can ship new AI-driven products now.”

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@thomsonreuters The test I keep coming back to: does it inspect, act, verify, and report back, or does it stop right before the annoying part?

@thomsonreuters modernizing 1.5M LOC a month? brutal. saved 30% but did they factor dev burnout and latency risks

En résumé, ils ont transformé une contrainte (modernisation legacy coûteuse et lente) en accélérateur stratégique : moins de dépenses opérationnelles, plus de vitesse et de focus sur l’IA. C’est un excellent exemple de comment l’agentic AI peut générer un ROI rapide sur les workloads existants.

@thomsonreuters The real impact is how much faster AI products can be shipped after optimization.