Xebia
We shape tomorrow with AI todayโhelping organizations turn AI strategy into production-ready solutions that drive real transformation, faster. Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver. Our flexible delivery model combines client-facing teams in the US and Europe with nearshore
06/12/2026
Most enterprise AI doesn't fail in the lab. It fails the day it meets real transaction volume, compliance reviews, and a live integration layer.
Preetpal Singh, our GMD of product and platform engineering, gets into exactly that in a new Unite.AI interview. After 26 years across financial services, healthcare, and manufacturing, his read is simple: the interesting moment isn't the pilot, it's everything after it.
"A model can perform well in testing, but once it's operating at full transaction volume, latency, monitoring, and failure handling become critical."
He's also blunt about a common trap: treating a successful pilot as proof of readiness. Real readiness looks like structured data, stable integrations, defined governance, and clear accountability when a system acts on its own.
Check out the full interview here: https://okt.to/Lmr0pV
06/09/2026
Over the past months, we've spoken with Data & AI leaders across industries about the forces reshaping their organizations.
๐๐ป๐ฑ ๐๐ต๐ฒ ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐ฝ๐๐น๐น๐ถ๐ป๐ด ๐ฎ๐ต๐ฒ๐ฎ๐ฑ ๐ฎ๐ฟ๐ฒ๐ป'๐ ๐ป๐ฒ๐ฐ๐ฒ๐๐๐ฎ๐ฟ๐ถ๐น๐ ๐๐ต๐ฒ ๐บ๐ผ๐๐ ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐๐ฒ.
๐ก They're the most adaptable.
As GenAI, self-service AI, governance requirements, changing skillsets, and digital sovereignty concerns accelerate, many organizations are discovering that their structures, processes, and roles were designed for a different era.
In our latest article Steven Nooijen explore:
โ The 10 forces putting Data & AI operating models under pressure
โ Why more AI pilots won't solve the problem
โ 5 practical moves leaders can make to build a more adaptive organization
๐ ๐ฅ๐ฒ๐ฎ๐ฑ ๐๐ต๐ฒ ๐ฎ๐ฟ๐๐ถ๐ฐ๐น๐ฒ: https://okt.to/iSXC7W
What is putting the most pressure on your operating model today: governance, talent, adoption, or something else?
06/03/2026
Technology doesnโt create value. Adoption models do.
Do you have a structured rollout approach?
Are teams enabled to use Copilot effectively?
Is this a short-term boost โ or a long-term advantage?
In our whitepaper, we present a proven 4-phase adoption model to:
โ Drive effective enablement
โ Ensure sustainable adoption
โ Turn AI into competitive advantage
AI impact is designed โ not accidental.
If you want structured, repeatable success with Copilot, download it here:
https://okt.to/uhJwIf
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