Applied artificial intelligence
Led by IBM
Master the deployment and governance of autonomous AI agents
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Organizations, regardless of their sector, need to evolve from isolated AI initiatives toward a coordinated, scalable, and governed strategy. Hand in hand with IBM, this session will explore the evolution of artificial intelligence paradigms leading up to the agentic AI approach, and why, in this new context, agent orchestration and governance play a key role.
Throughout the session, we will address how this paradigm shift helps overcome traditional fragmentation by connecting data, processes, and decisions in a smarter, more automated way (with a special emphasis on IoT).
- Generate, deploy, and orchestrate autonomous agents.
- Apply a governance framework for AI use cases to control the entire lifecycle and adapt to regulatory requirements.
- Use AI to automate the software development lifecycle, improving productivity and quality.
IBM's AI experts and leaders will share best practices derived from their experience and guide attendees through live testing, demonstrating how visibility, control, and productivity reinforce one another.

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