Xebia

𝗪𝗲’𝗿𝗲 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗰𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗲 𝟲𝟬𝟬,𝟬𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻! That's more than a milestone. It's a signal that thousands of technology leaders, engineers, architects, and innovators choose to spend time discussing the challenges shaping 𝗺𝗼𝗱𝗲𝗿𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲, 𝗔𝗜, 𝗰𝗹𝗼𝘂𝗱, 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗱 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 Over the past year, one topic has consistently stood out: 𝗵𝗼𝘄 𝘁𝗼 𝗺𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. That's the conversation we're committed to advancing.    Whether we're discussing 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗹𝗼𝘂𝗱 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗼𝗿 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀, our goal stays the same: 𝗵𝗲𝗹𝗽 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗯𝘂𝗶𝗹𝗱 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻, 𝘀𝗰𝗮𝗹𝗲𝘀 𝘄𝗶𝘁𝗵 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. To everyone who follows, comments, challenges our thinking, or shares our work: thank you for being part of the Xebia family. You've helped build a community where ideas are tested, not just promoted. Here's to the next chapter of innovation, collaboration, and growth. #Xebia #600K #AI #IntelligentAutomation #Cloud #Data #DigitalTransformation #Innovation #Community

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗼𝗻’𝘁 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗯𝗮𝗱 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗧𝗵𝗲𝘆 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗯𝗮𝗱 𝗱𝗮𝘁𝗮. Modern data quality is no longer limited to rule-based checks. Today’s tools use machine learning to detect anomalies, schema drift, missing data, and inconsistencies—before they break dashboards or AI pipelines. From data observability to automated quality rules, ML is becoming the default layer of trust in modern data platforms. 𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝗵𝗼𝘄 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗠𝗟-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆? 👉 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗻𝗼𝘄: https://okt.to/C0OyPY. #DataQuality #MachineLearning #AIEngineering #ModernDataStack #Analytics #EnterpriseAI #Xebia

We're proud to share that 𝗫𝗲𝗯𝗶𝗮 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝗻𝗼𝗺𝗶𝗻𝗮𝘁𝗲𝗱 𝗳𝗼𝗿 𝗮 Computable.nl 𝗔𝘄𝗮𝗿𝗱 𝟮𝟬𝟮𝟲 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆 "𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗪𝗼𝗿𝗸". The nomination recognizes our collaboration with DEPT®, where together we brought 4,000 developers onto a single AI-powered development platform. By combining GitHub Copilot, engineering best practices, governance, and enablement, we helped create a new way of working that empowers developers to innovate faster and collaborate more effectively. At Xebia, we believe the future of work isn't defined by AI alone. It's shaped by how people adopt it, embrace it, and use it to create better outcomes. This nomination is a recognition of the expertise, dedication, and collaboration of everyone involved. A huge thank you to our teams and to DEPT® for making this possible. If you'd like to support us, we'd be grateful for your vote! (registration required) https://okt.to/1dHGyp #ComputableAwards #FutureOfWork #AI #SoftwareEngineering #GitHubCopilot #Xebia

The AI-driven technology services landscape is evolving faster than we can imagine. Staying ahead requires diverse perspectives, strong industry partnerships, and open dialogue about changing enterprise priorities. That was the focus of our recent conversation with Swapnil Bhatnagar and Chandrika Dutt from Avasant. We had an engaging discussion on the shifts reshaping the market, evolving enterprise buying behavior, and the AI-led future of technology services. Nischay Mittal, SVP Growth & Strategy shared Xebia's strategic perspective on navigating these shifts. Xebia's Data & AI Leader, Mayank Verma, shared his views on the rapidly evolving Data & AI landscape and how AI-led delivery is helping enterprises move from experimentation to scaled AI adoption. One theme stood out throughout the discussion: AI success is no longer defined by individual use cases. It depends on whether organizations can operationalize AI across people, processes, data, and technology while maintaining governance, trust, and measurable ROI. Thanks to Anisha Savardekar and Alpana Shukla for strengthening the collaboration between Xebia and Avasant and creating opportunities for meaningful industry dialogue. #EnterpriseAI #AITransformation #DataAndAI #DigitalTransformation #ThoughtLeadership #TechnologyServices #Xebia Anand Sahay | Keith Landis | Preetpal Singh | Matthew S. Gosselin | Glory Nelson

We're excited to welcome Amit Agrawal to Xebia as our Global Business Head, Retail and Consumer Goods. Amit brings more than 25 years of experience helping retail and consumer packaged goods brands drive growth, transform with AI, and modernize operations. At HCL Technologies, he led a large Retail and CPG portfolio across the US and Canada, having previously run the business across the UK and Europe, and played a central role in major deals spanning Japan, India, and beyond. He most recently served as CEO of Clover Infotech Americas, leading its North American expansion. In his new role, he'll focus on building and scaling our retail and consumer practice, spanning go-to-market strategy and partnerships, vertical-specific offerings, and large-deal growth. As we deepen our focus on industry, Amit's ability to make AI practical and commercial for consumer brands is exactly what our clients need. Please join us in welcoming Amit to the team. #Retail #CPG #AItransformation #Xebia 

What does it actually take to run AI on your most sensitive data? Not a proof of concept. Not a controlled sandbox. Production with real data, real workflows, and regulators watching. It takes more than picking the right model or cloud provider. It takes a platform built for jurisdictional control, governance by design, and long-term portability. Here's a quick breakdown of what that looks like in practice. Link to full whitepaper in comments 👇 #SovereignAI #AIProduction #EnterpriseAI #Compliance #Xebia

𝗔𝗜 𝗰𝗮𝗻 𝘀𝗮𝘃𝗲 𝘁𝗶𝗺𝗲. 𝗜𝘁 𝗰𝗮𝗻 𝗮𝗹𝘀𝗼 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗿𝗲𝗺𝗼𝘃𝗲 𝘁𝗵𝗲 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗲 𝘄𝗵𝗲𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝘀 𝗯𝘂𝗶𝗹𝘁. When teams no longer wrestle with the work themselves, they may also lose some of the context, intuition, and judgment that used to come from doing it. In his latest article, Robbin Schuurman explores the Tacit Knowledge Tax and why AI-powered teams need to pay attention to what they stop learning. Read the article here: https://okt.to/FYCHwJ #AI #ProductManagement #ProductDevelopment #KnowledgeManagement

The biggest risk today isn't AI replacing people. It's people who don't understand AI being left behind. As AI becomes a core skill across industries, building a strong foundation in these technologies is how you stay ahead. Join Xebia for Introduction to AI & Machine Learning on Google Cloud and build a strong foundation in the technologies shaping tomorrow's world. 📅 18 July 2026 🕙 10 AM – 5 PM IST 💻 Online Register now and begin your AI journey: https://okt.to/fb9Iah #AI #machinelearning #XebiaAcademy #GoogleCloud #Upskilling

Building AI-powered assistants is easy. Building them securely in an enterprise environment is where things get interesting. Many organizations want to leverage Microsoft Teams as the front door for AI and automation, while keeping business-critical systems protected behind private networks. The challenge? Microsoft Teams requires public connectivity, while enterprise security teams demand network isolation. In this article, Victor de Baare explores how to bridge that gap by building a Microsoft Teams bot with private networking on Azure, without compromising security, scalability, or user experience. You'll learn: ✔️ How Microsoft Teams communicates with Azure-hosted bots ✔️ Why traditional private networking approaches don't work out of the box ✔️ How to design a secure architecture using Azure networking services ✔️ Key considerations for enterprise-grade bot deployments ✔️ Lessons learned from implementing secure Teams integrations in real-world environments As AI assistants and conversational interfaces become part of everyday work, secure architecture is no longer an afterthought—it's a requirement. 📖 Read the article: https://okt.to/E2Rpae #MicrosoftTeams #Azure #CloudArchitecture #EnterpriseAI #AzureNetworking #CyberSecurity #SoftwareArchitecture #Microsoft

70-85% of enterprise AI pilots never make it to production. In our latest blog, we break down the three real reasons AI initiatives stall before scale: 👉 The "Dirty Laundry" data problem: PoCs run on clean data, production doesn't 👉 The "Black Box" governance gap: no audit trail means no compliance sign-off 👉 The "Broken Bridge" of ownership: pilots with no business unit to own them And the three pillars that separate the 30% who scale from everyone else: portability over lock-in, governance by design, and a phased roadmap that proves value before it tries to boil the ocean. Read the full breakdown by Daniel van Dijk and see how Xebia is helping regulated enterprises cross this chasm: https://okt.to/eJf5tz #SovereignAI #EnterpriseAI #DigitalSovereignty