May 18–19, 2026 | San Jose, CA
AI & Big Data Expo 2026 marks the moment enterprises stop experimenting and start shipping.
The models have been selected. The use cases have been defined. And yet, most AI programmers stall at the same point, not because of the technology, but because the data powering it isn't ready, and the engineering teams building it can't move fast enough.
Getting AI into production requires two things most enterprises underestimate: data their agents can trust, and engineering teams that can build and ship at the speed AI demands. Xebia works on both.
At Xebia, we believe enterprise AI only delivers value when it's grounded in governed data and built with AI-native engineering discipline. That means migration-ready platforms, unified data foundations, and AI applied across the full software delivery lifecycle — not just in isolated tasks.
At AI & Big Data Expo, our experts will be on-site to discuss how organizations can:
- Build a governed, agent-ready data platform that replaces fragmented pipelines with a single source of truth
- Accelerate data migrations by up to 65% using purpose-built agentic pipelines
- Apply AI across the entire SDLC — from requirements to deployment — for up to 40% faster delivery
- Modernize legacy systems by mapping codebases and planning transformation based on what the code actually does
Whether you're building the foundation for your first AI agent or scaling an enterprise-wide programme, we look forward to meeting you at Booth #246 at AI & Big Data Expo 2026.
Shaping Enterprise AI. From Data to Delivery.
Join Us On Stage
Speaking Session — Enterprise AI Implementation, ROI & Adoption Track From Fragmented Data to Agent-Ready: How a Leading Technology Platform Provider Unified Data Across 5+ Platforms to Build a Foundation for AI
📅 Tuesday, May 19 | 11:05am – 11:35am
🎤 Speaker: Niels Zeilemaker
Panel — Real-World ROI: How to Measure the Impact of Intelligent Automation Projects
📅 Monday, May 18 | 9:45am – 10:25am
🎤 Featuring Kevin Hearn, Axos Bank
Book a Meeting
Meet our experts at Booth #246. Whether you're assessing data readiness, exploring AI-native engineering, or ready to build — we'd love to connect.