Agentic AI is transforming data governance by automating tasks that have traditionally required significant manual effort, making governance at scale increasingly possible. But one challenge remains: the human in the loop. Human oversight is essential for accountability, judgement and trust, yet it also introduces risks that automation alone cannot eliminate. This keynote explores the paradox of human involvement in AI-driven data governance and how organisations can balance increasing autonomy with the human judgement they cannot afford to lose.
What if the future of AI was also being shaped beyond the paths laid out by Big Tech?
From real-time voice AI to large language models and AI-powered creativity, a new generation of European entrepreneurs is exploring new ways to innovate, combining cutting-edge performance, technological independence, and freedom of choice.
How can emerging players stand out in a market dominated by Big Tech? Can technological independence become a real competitive advantage? And how can innovation translate into tangible business value?
Join the CEOs of Gladia, OVHai LLM, and Beink as they share three entrepreneurial perspectives united by one ambition: building AI that is powerful, open, and free.
Software development is crossing a threshold. AI agents are moving beyond code generation. They are beginning to plan work, implement changes, test systems, review results and operate complete development workflows.
This changes the central challenge for technology leaders. The question is no longer simply how to generate more code, but how to build a software production system that can operate with increasing autonomy while remaining secure, reliable and accountable.
This talk introduces the agent-centric development cycle, a practical framework that development and platform teams can use to build a trustworthy software factory. It explains how organisations can give agents clear intent and effective constraints, establish independent layers of verification, and progressively increase autonomy as evidence of quality and control grows.
It also examines what this transformation means for developers and the shape of development teams. As agents take on more implementation work, developers increasingly define intent, design systems and engineer the environments and verification mechanisms that make autonomous work trustworthy. Humans remain responsible for judgment and accountable for the resulting outcomes.
Attendees will leave with a practical model for moving beyond isolated coding assistants toward an AI-enabled software factory that delivers greater speed and scale without sacrificing enterprise quality, security or control.
Data and AI sovereignty has become a strategic priority for enterprises, particularly as AI introduces new challenges around control, governance and business continuity. But achieving sovereignty requires more than deciding where data is stored. It requires architectures that provide control, enforce policies and demonstrate compliance.
In this hands-on masterclass, we will examine common misconceptions about sovereignty, explore the architectural decisions organisations need to consider and introduce a practical assessment framework to help evaluate sovereignty requirements and design for them.
As Europe moves from AI sovereignty ambitions to execution, the challenge is turning control over data, infrastructure and models into AI systems that organisations can actually deploy and scale. What does sovereignty mean in practice for enterprises and governments? How can organisations retain control over sensitive data and critical workloads while accessing the capabilities they need? And what role do deployment choices, architecture and open ecosystems play in building Europe’s long-term AI advantage?
Sed cautela nimia in peiores haeserat plagas, ut narrabimus postea, aemulis consarcinantibus insidias graves apud Constantium, cetera medium principem sed siquid auribus eius huius modi quivis infudisset ignotus, acerbum et inplacabilem et in hoc causarum titulo dissimilem sui
