Break the Metadata Bottleneck to Drive Agentic AI and Contextual Insights
Автор: Promethium
Загружено: 2026-02-06
Просмотров: 28
Описание:
What does it take to generate accurate, contextual AI insights at scale? After a year of agentic AI POCs, enterprises are discovering that the real bottleneck isn't the models — it's the metadata and business context underneath.
In this Solutions Review Solutions Spotlight, Kevin Petrie (VP of Research, BARC) and Prat Moghe (CEO, Promethium) dig into why context engineering is the hidden blocker for production-grade AI analytics — and what leading organizations are doing differently to break through.
Topics include:
→ The gap between demo accuracy and production accuracy
→ Why "revenue" means five different things across your org
→ How scattered metadata keeps agents from delivering trustworthy answers
→ The architectural choices that separate pilots from production
Read the 5 key takeaways: https://promethium.ai/5-key-takeaways...
Learn more about Promethium: https://promethium.ai
#DataFabric #AI #TextToSQL #Analytics #ContextEngineering #Metadata #AgenticAI #DataManagement #EnterpriseAI
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