Moving past conversational demos, autonomous workflows and multi-agent architectures are already entering core production environments. What systems actually run at scale, what do they cost to maintain, and what critical lessons were learned from early deployment failures?
AI is reshaping how organizations innovate, operate and compete. Turning AI’s potential into strategic business value goes beyond access to powerful models and depends on the computing capabilities, infrastructure and control required to develop and deploy AI at industrial scale.
For highly regulated sectors like healthcare, finance, defense, and the public sector, it also demands complete sovereignty over mission-critical assets: data, models, and intellectual property.
In this masterclass, discover how OUTSCALE's AI Factory provides the sovereign cloud foundation to move from AI experimentation to full industrial deployment. Combining high-performance computing with uncompromising data governance, OUTSCALE enables organizations to run complex AI workloads with total control.
Explore how sovereign AI infrastructure acts as a primary catalyst for industrial competitiveness, speed-to-market, and long-term asset protection.
To turn AI into concrete value for industry, it must be grounded in science and guided by industry knowledge and know-how. Discover how Dassault Systèmes’ Industry World Models and 3DEXPERIENCE agentic platform power Virtual Companions (AURA, LEO and MARIE): trusted AI experts that reason, plan, and act alongside people. We’ll share real customer use cases showing how AI-powered Virtual Twins deliver efficient, trusted and foster industry innovation.
Delivering at the scale AI demands requires moving beyond pilot projects to true industrialisation. How do industry leaders modernise design, orchestrate human-AI collaboration on complex sites, and leverage digital tools to build the physical infrastructure of the future?
Agentic development tools and AI code generation are radically transforming enterprise software engineering. As development speeds up, how do CIOs and CISOs balance productivity gains against cyber vulnerabilities, IP risks, and the governance needed to maintain total architectural control?
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