Xebiacon: Where AI moves from ambition to execution

AI has moved beyond experimentation. But for many organizations, impact is still out of reach.

Despite significant investment, most enterprises are still struggling to translate AI into measurable outcomes at scale: across engineering, data, and the way work actually gets done.

The gap is no longer about access to technology. It’s about execution.

Xebiacon brings together leaders and practitioners who are closing that gap, sharing how AI is being applied in production, what it really takes to scale, and where most organizations still fall short.

Hosted by Xebia, an AI-first consulting, software engineering, and training company, with 25 years of experience, the event is built on a simple premise: real progress comes from building, measuring, and learning, not from talking about potential.

Because AI doesn’t transform organizations on its own, it exposes the gaps:

• in how software is built
• in how data is structured
• in how decisions are made
• in how organizations actually work

For this conference, we are looking for substance over storytelling.

We invite speakers to share real-world experiences around these topics: 

1. AI-Powered Productivity - Empowering people and teams with AI

AI is transforming the way professionals work. At the individual and team level, this is where AI native digital engineering becomes real: AI assistants, copilots, and intelligent agents that help people improve productivity, collaboration, decision-making, and knowledge sharing. Learn practical approaches to adopting AI securely and at scale across the organization. 

Typical topics: Microsoft Copilot, Claude Cowork, OpenAI Codex, Google Gemini, personal AI assistants, building skills and agents, AI for knowledge workers. 

This track speaks to business professionals, team leads, CIOs, HR leaders, and digital workplace teams navigating AI adoption at the individual and team level. 

2. AI-Driven Process Optimization  - Reimagining workflows and operations 

Move beyond individual productivity and explore how AI can automate, optimize, and transform business processes. Architecting the agentic enterprise with intelligent workflows, process mining, and autonomous operations that create measurable business value through intelligent automation. 

Typical topics: Process mining, AI-powered process redesign, workflow automation, AI in finance, operations, HR, and marketing, intelligent decision-making, operational excellence. 

This track speaks to operations leaders, transformation teams, process owners, enterprise architects, and business analysts redesigning how work actually gets done. 

3. Data Modernization for AI - The Foundation of Products, Platforms & Core Services 

Data modernization for AI is where this track starts: getting your data right so AI has something solid to land on. This track shows you how to get your data foundation right, from trusted architecture and governance to modern platforms, so AI can scale with confidence across your business. Once that foundation is in place, the real payoff begins: AI-powered software engineering, smarter customer-facing solutions, and industry-specific applications that turn strong data with AI into a real competitive edge. 

Typical topics: Data modernization, data architecture, governance, sovereignty, observability, AI-assisted software development, platform engineering, data and AI platforms, customer operations, AI-enabled products. 

This track speaks to CTOs, architects, engineering leaders, developers, data professionals, and platform teams turning a strong data foundation into a real competitive edge. 

4. Transformative AI Business Models - Reinventing business through AI 

The most ambitious organizations are using AI not only to improve existing operations but to redefine how value is created. That kind of reinvention depends on building AI-ready leaders and organizations: leaders who have rethought operating models, decision-making, and culture enough to support AI-native products, autonomous enterprises, and new ways of engaging customers and markets. 

Typical topics: AI-native products, autonomous organizations, digital business models, AI strategy, innovation and transformation. 

This track speaks to CEOs, business leaders, strategists, product leaders, innovation teams, and entrepreneurs shaping what comes next. 

We're not looking for polished predictions about where AI is headed. We're looking for the people already building, measuring, and learning — and willing to talk honestly about what worked, what didn't, and what it actually took.

If that's you, we want you on stage.