Scaling from Pilot to Production
Learn why successful AI pilots often fail at scale (10,000+ documents) due to missing foundational elements like proper data hygiene, curation, and workflow processes.
The Foundational Role of Use Cases
Understand how to define granular, unambiguous, and testable use cases that become the blueprint for success and directly lead to the required knowledge architecture and measurable ROI.
Solving Content Fragmentation with Knowledge Architecture
Discover the need for a semantic layer or knowledge graph to connect fragmented data sources, providing the consistent organizing principles and ground truth necessary for grounded AI.
Mitigating Risk and Ensuring Adoption
Explore the human dependency on AI—focusing on stakeholder alignment, change management, and governance—and critical risks like IP loss and hallucinations that must be controlled at the foundational level.
In this engaging session of The C-Suite Reflection Room, Maxim DSouza, Co-founder & CTO at Eubrics, talks with Seth Earley, CEO of Earley Information Science, about moving Generative AI beyond experimentation into reliable, enterprise-wide production. The conversation dives deep into the "invisible layers" that determine success, including the foundational architecture, content operations, and governance required to turn fragmented enterprise knowledge into a powerful, scalable asset for AI. Learn the practical steps needed to fix search, define meaningful use cases, and ensure the quality of data that truly drives business value and competitive advantage.
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Improved Decision-Making Outcomes
20%
and double your sales productivity