In our fourth Graphwise Talk, data and AI practitioner Panos Alexopoulos and Jim Buonocore of #EPAM_Systems join Graphwise to unpack why enterprise AI projects stall: the failure patterns behind stuck pilots, why scaling is a data problem in disguise, and what it takes to build AI that compounds instead of stalling out.
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James Buonocore
Jim helps enterprise teams turn technology initiatives into results that actually stick, with grounding that spans strategy, delivery, and content. He has a longstanding affinity for the publishing world, from traditional editorial work to semantic technology, and applies that lens to helping data and content businesses build AI that holds up in production. Known for driving broad, honest technical conversations with mixed technical and business audiences, staying skeptical of hype while keeping teams moving on realistic timelines.
Blog Post
Language, Data, and Knowledge: Piloting A Virtual Graph RAG
Read about EPAM’s collaborative experience with Graphwise GraphDB and its Talk to Your Graph interface.
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