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Speakers
Principal Technical Global Blackbelt, Generative AI (Microsoft)
Senior VP, Innovation (Neudesic)
Overview
Organizations worldwide experiment with AI pilots, yet most struggle to scale autonomous agents into production workloads that generate measurable business value. The primary obstacle emerges from governance, security, and operational complexity rather than technological limitations.
Join TDWI research fellow Donald Farmer and industry experts from Neudesic, an IBM Company, and Microsoft as we analyze how enterprises transition from fragmented AI experiments to managed digital workforces that operate securely at scale. We’ll examine Neudesic’s new Digital WorkforceIQ solution: a joint offering with Microsoft that restructures how organizations deploy, govern, and scale autonomous and semi-autonomous agents on Azure.
Drawing on real-world enterprise implementations, this session will examine the operational realities of managing AI agents that make decisions, execute workflows, and collaborate with human teams. We’ll investigate how leading organizations build trust in AI systems while maintaining the control and oversight that enterprise environments demand.
Highlights
Key takeaways include:
Whether you struggle to advance AI initiatives beyond the pilot phase or seek to build foundations for scalable AI operations, this session will demonstrate practical methods for creating a trusted, governed digital workforce that generates sustained business value.
