Missed the live event? Don’t worry — you can now access the full webinar on demand and catch all the expert insights at your convenience. Enterprise data holds immense potential for driving AI innovation, yet a vast majority remains untapped.
We held a fascinating fireside chat with GigaSpaces and IBM where we delved into the critical challenges of leveraging unstructured and, more importantly, structured data for Large Language Models (LLMs).
We explored why structured data presents unique hurdles for AI interpretation and discuss how organizations can fully utilize their valuable data assets.
Key topics included:
- Data is the fuel for an effective AI strategy.
- But only 1% of enterprise data is in LLMs.
- To take advantage of AI you need to bridge the gap to your foundation models and unlock your enterprise data in a way that ensures privacy and security
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