Thoughtworks

Global tech consultancy blending design, engineering and AI to help businesses thrive through innovation.

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Curious about Technology Radar Vol. 35? 🚀
Join us next week for an exclusive sneak peek! Hear from Thoughtworks technologists as they share early insights into emerging tools and trends.
💬 Bring your questions!
👉 Register now: https://t.co/b4G2rjOMf7

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AI is making software faster to build. But is it making products more valuable?

Join @cagan (@officialsvpg) and Joe Murray (Thoughtworks) on Oct 28 as they explore what it takes to deliver real business outcomes.

Watch live on LinkedIn 👇
https://t.co/cixVDoNgTY

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We're a Visionary in the 2026 @Gartner_inc® Magic Quadrant™ for Custom Software Development Services! 🙌

See how Thoughtworks is approaching AI-native software delivery and cloud modernization.

Download the complimentary report: https://t.co/tb9ZiqL5Tg

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How can enterprises scale AI while controlling costs and protecting IP? Andy Nolan shares how Thoughtworks built a token sourcing strategy with Crusoe, projecting up to 72% lower AI inference costs by 2028.

Explore the approach 👉 https://t.co/pAc2KjGUzU

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🏆 Award-winning digital design!

Thoughtworks and @kayosports have won a 2026 Australian Good Design Award in the Digital Design (Apps and Software) category for reimagining the sports streaming experience.

Know more: https://t.co/zRMLibnzae

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They also share how Thoughtworks, @AWS and @Splio tackled the challenge in just three days, developing a working concept and a business case projecting 429% ROI through the AWS Agentic Catalyst Program and 3/3/3 methodology.

Read now: https://t.co/42l8Il1qW6

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When insight stalls, so does the value.

Only 34% of the customer data organizations collect finds its way into CX decisions. The rest remains locked away in silos, while missed revenue quietly adds up.

We explore what gets in the way of turning customer insight into action 👇

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Cheaper code won’t kill software development, but it’s changing the industry. From AI agents to shifting roles and new opportunities, Thoughtworks’ Chris Ford explores what happens when coding costs fall.
Read more 👉https://t.co/nRpssVtLbE

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The biggest challenge to agentic AI at airports isn't AI. It's fragmented data. ✈️
Robert Drotar explores why unifying operational systems is essential before AI agents can make reliable decisions.
Read more 👉 https://t.co/AFQMF0Mzyn

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What makes AI agents reliable? The right harness. Piyush Sonawane explores how context, tools, guardrails and feedback help AI agents move beyond demos to real-world applications. Explore the practical guide 👉 https://t.co/7DYOAuGfkU

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Are AI agents replacing SaaS or reshaping it? 🤖
Tom Holbourn explores how agentic AI is transforming enterprise software, from build vs. buy decisions and hybrid pricing to AI-driven workflows.
Discover what’s next for SaaS. 👉 https://t.co/VMshhEHofh

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As AI agents gain the ability to spend, who controls their decisions? Matt Kamelman explores why agentic payments need more than authorization, calling for clear governance, accountability and executable authority.

Read more 👉 https://t.co/JL7TmxM5o5

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The countdown is on! Thoughtworks Technology Radar Vol. 35 is coming on November 4, 2026. 🚀

🔔 Subscribe now to be among the first to explore the latest edition when it launches! 👉 https://t.co/LxflCoODCE

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AI is generating more outputs, but where’s the value? Tom Holbourn and Alexander Moore explore why executive judgment, clear accountability and strong guardrails are critical to turning AI investments into measurable business outcomes.

Read more 👉 https://t.co/wEzSwu4ych

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In this post, Gustavo A. Lujan walks through the three experiments and what they mean for deciding which workloads to own. All results come from NVIDIA’s pre-release checkpoint.

👉 https://t.co/F8s004Jd03

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NVIDIA explains what makes our partnership work: domain expertise, open source and early access to new models.

Congratulations to @nvidia on the launch of Nemotron 3.5 Super VL. We had early access to the new vision-language model and put it to the test. Here’s what we found:

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📏 Measurable - Legal and healthcare adapters trained in about 3 hours each and predicted held-out reference text 9.4 and 5.4 points more accurately than the base model. We also show how to test an adapter before you deploy it.

[Thoughtworks @thoughtworks]

A better AI model doesn't always mean a better agent. Piyush Sonawane explains how agent harnesses bring together context, tools, guardrails and feedback to help AI agents work reliably.

Explore the practical guide 👉 https://t.co/hjzRvlnp9N

[Thoughtworks @thoughtworks]

Chicago Data and AI community: join Thoughtworks and @databricks for our Community Meetup next Tuesday, Oct. 20.

We’ll have happy hour plus talks on Genie semantic layers and open source Consort.

We hope to see you there: https://t.co/V7Xd3Wetrw