Xebia

Are you investing in AI, but still fighting siloed data, fragmented
ownership, and slow ex*****on?

Retail success depends on speed, but scaling AI requires structure.

This whitepaper provides a practical enablement framework to turn AI ambition into real impact.

📥 Download it here: https://okt.to/QhD8ZH

In the AI era, the most valuable conversations happen where market perspective meets ex*****on reality.

That’s what made the discussion between Xebia’s experts, Hemant Ramnani and Niels Zeilemaker, and Everest Group’s Vishal Gupta and Parul at the recent Databricks event in San Francisco particularly insightful.

As organizations move beyond AI experimentation, the focus is shifting to a more critical question: how do we translate AI ambition into measurable business value?
The answer requires more than technology adoption. It demands a clear understanding of evolving market dynamics, changing enterprise priorities, and the practical realities of scaling AI responsibly.

Everest Group brings an outside-in perspective on market trends, enterprise challenges, and emerging opportunities. Xebia contributes the inside-out view, drawing from hands-on experience helping organizations modernize data platforms, operationalize AI, and drive tangible business outcomes.

The most meaningful progress happens when these perspectives come together. Thoughtful dialogue, diverse viewpoints, and strong collaboration remain essential ingredients for turning AI potential into lasting impact.

𝗧𝗵𝗲 𝗔𝗜 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝘀𝗵𝗶𝗳𝘁𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻.

We're proud that Xebia has earned the Microsoft AI Applications on Azure Specialization, recognizing our proven capability to build and scale enterprise-grade AI solutions on Azure.

For our clients, this means access to validated expertise, reduced implementation risk, and faster time-to-value when turning AI ambitions into business outcomes.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: https://okt.to/xtmclV

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

𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗻𝗲𝘄𝘀! 🎉 Xebia 𝗵𝗮𝘀 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗲𝗮𝗿𝗻𝗲𝗱 𝘁𝗵𝗲 Databricks Brickbuilder 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀.

This recognition validates our proven expertise in helping financial institutions unlock value from their data and AI investments on the Databricks Data Intelligence Platform. It reflects not only our technical capabilities, but also our track record of delivering successful outcomes for customers across the Financial Services industry.

Thank you to our customers, teams, and Databricks for making this milestone possible 💪

The future of infrastructure is being shaped right now, and we’re excited to be part of the conversation at the OVHcloud Summit in London.

Joining the event from Xebia are Friederike Albers, Daan Heikens, and Freddy Ayuso-Hensen, where they’ll connect with industry leaders, customers, and partners to discuss the evolving landscape of cloud, infrastructure, digital sovereignty, and AI.

A special highlight: Daan Heikens will take the stage as part of a panel discussion on infrastructure, sharing insights on the challenges and opportunities organizations face as they build resilient, scalable, and future-ready platforms.

If you’re attending the summit, we’d love to connect. Reach out to Friederike, Daan, or Freddy and let’s discuss what’s next for cloud and infrastructure.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗢𝗩𝗛𝗰𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗫𝗲𝗯𝗶𝗮 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽: https://okt.to/MDLkFJ

Over the past months, we've spoken with Data & AI leaders across industries about the forces reshaping their organizations.

𝗔𝗻𝗱 𝘁𝗵𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗽𝘂𝗹𝗹𝗶𝗻𝗴 𝗮𝗵𝗲𝗮𝗱 𝗮𝗿𝗲𝗻'𝘁 𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲.

💡 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:
→ The 10 forces putting Data & AI operating models under pressure
→ Why more AI pilots won't solve the problem
→ 5 practical moves leaders can make to build a more adaptive organization

👉 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗮𝗿𝘁𝗶𝗰𝗹𝗲: https://okt.to/iSXC7W

What is putting the most pressure on your operating model today: governance, talent, adoption, or something else?