Xebia

This summer, we traded conference rooms for the padel court. Over two months, Xebia and Google Cloud teamed up a full tournament — first round, second round, and a nail-biting final — spread across several weeks and recurring lunch & learn sessions bringing together Googlers and clients.

Yes, we talk about Gemini Enterprise a lot. But when we meet as humans, we make sure to have just as much fun as we do innovating together.

Check out the video below to relive the highlights of Padel Summer 2026! 🎥👇

Governance in AI is the steering wheel that will stop you from falling off the cliff, not the brakes that stop innovation," said Vishal Gupta from Everest Group in the interview with Mayank Verma.

If you work in data, you've probably spent years making the case for governance to people who just wanted to move faster. In today's agentic world, this conversation becomes even crucial and challenging.

We now face:
- Probabilistic systems that behave differently every time
- Prompts that don't return the same answer twice
- Agents that evolve in ways teams can't fully predict
- Regulatory exposure and compliance gaps hiding in production

All of these are reasons to build governance in from day one, rather than waiting until problems arise.

🔗 Watch the full interview → https://okt.to/9NlvbC.

"The PoC was successful, but we can't deploy it in production yet."

Does this sound familiar?
75–95% of AI pilots never reach production because pilots are controlled experiments:
- Narrow scope
- Curated data
- People monitor every output.

When moving to production, teams suddenly have to deal with risk, governance, ROI, and data quality. All of these are reasons many projects hit a wall. Enterprises realize their systems weren't built for AI and aren't safe enough for agents to rely on.

Risk. Governance. ROI. Data foundation. All remain unresolved when most pilots hit the wall.

Everest Group's Vishal Gupta puts it plainly and it aligns with what we see every day from clients trying to scale.

Watch the full interview → https://okt.to/H21AUq

Your teams are using AI. But are you seeing the delivery gains you expected?

Point tools aren’t enough for speeding up software delivery. It requires an end-to-end engineering ecosystem that connects strategy, development, modernization, and continuous delivery.

Watch Devipad Tripathy, Xebia’s Global Head of Digital Engineering and Enterprise Transformations, explain how Xebia Ace helps enterprises build, enhance, modernize, and accelerate software delivery across the entire SDLC.

Identify the barriers across your engineering lifecycle and unlock measurable gains with Xebia’s AI Engineering Assessment: www.xebia.ai/Ace.

𝗧𝗼𝗱𝗮𝘆, 𝘄𝗲'𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗫𝗲𝗯𝗶𝗮 𝗔𝗜 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗛𝘂𝗯 — 𝗔𝗜 𝗔𝘀𝘀𝗲𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗿𝗲𝘁𝗮𝗶𝗹 𝗮𝗻𝗱 𝗖𝗣𝗚.

Product shoots. Campaign visuals. Localized assets for every market. All of it used to mean more time, more coordination, more budget.

The speed of AI alone isn't the win. Retail and CPG teams still need brand consistency, quality checks, and approvals before anything ships.

This is what governed AI content production looks like — from first prompt to final approval.

Request a demo → https://okt.to/SUFcdP

Mayank Verma (Global Head - Data & AI, Xebia) joins Dr. Shivagami Gugan (Chief Technologist, Worldwide, AWS) and Preetpal Singh (Group MD - Product & Platform, Xebia) to explore what it takes to build an AI-native enterprise.

As organisations move from AI experimentation to enterprise-wide adoption, the focus is shifting from what AI can do to what it takes to make it work at scale. The conversation covers data readiness, responsible AI, agentic engineering, and outcome-based models, with a focus on turning AI capabilities into meaningful business outcomes.

Because scaling AI is not just about deploying more agents. It is about building the foundations that enable them to create real enterprise value.

Watch the full conversation to hear their perspectives on scaling AI, building the right foundations, and turning AI into measurable business impact.