How Can Enterprises Unleash
The True Power of GenAI
Applications and the Databases
They’re Built On?
Networking Dinner at 2120, Seattle

Here’s what we discussed:

OpenAI’s ChatGPT is undoubtedly a remarkable achievement in AI, having unlocked a nearly unlimited scope of possibilities. But beyond their impressive day-to-day applications, the true power of large language models (LLMs) lies in their integration with enterprise databases and proprietary data — something that requires a solid technical foundation.

This dinner discussion explored the concept of ‘private AI’ and how it holds the key to developing advanced AI applications specifically tailored to the unique needs of enterprises. We focused on strategically leveraging LLMs using a corpus of proprietary data, uncovering how enterprises can utilize their vast data repositories to train and fine-tune LLMs, enabling a better understanding of domain-specific contexts and providing more accurate insights.

Throughout the discussion, we explored the key criteria of an optimal database for generative AI, the potential benefits of collaboration and knowledge sharing between organizations to enhance the performance and understanding of LLMs, and how to pave the way for cutting-edge AI applications that uphold data privacy and ethical standards.