Watch the webinar now!
By 2035, industry leaders will run autonomous business models — where AI-driven agents make decisions, take action, and create new value at machine speed. But the gap between that vision and today's reality is vast.
Most organizations are data-rich but decision-latency constrained. The bottleneck isn't AI ambition — it's the technical and data foundations required to close the loop between signal and response.
Join Cyril Soga, Field CTO at Calibo, as he translates insights from Gartner IT Symposium Barcelona 2025 into a practical roadmap for data and innovation leaders. This session connects the dots between Gartner's autonomous vision, the Architect and Synthesist roles required to build it, and the multimodal data fabric capabilities that make it all work.
What you'll learn:
- The three irreversible impacts of agentic AI on workflows, workforce, and decisions
- How the Architect role builds the technical engine (AI-native dev platforms, supercomputing infrastructure)
- How the Synthesist role orchestrates specialized intelligence (multiagent systems, domain-specific language models)
- Why the "Data Hourglass" is the fatal chokepoint — and how multimodal data fabrics solve it
- The role of active metadata augmentation in providing context for AI agents
- A 0-3 / 3-6 / 6-12 month roadmap: what to pilot, build, and scale — and when
Speakers
Cyril Soga
Head of Analyst Relationships
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