Convergence of AI and Private Data

Large language models (LLMs) from companies like OpenAI, Microsoft, Google, and Anthropic are generating a lot of interest and use by the public. They are used by hundreds of millions of users. The key benefit LLMs provide is a natural language reasoning interface for humans. But LLMs have some major functional issues such as bias, reasoning errors, safety, and privacy concerns. Companies that can take advantage of their private data with LLMs will have a strong business advantage.
During this webinar, we’ll show you how you can:

• Improve AI trustworthiness;
• Capture human expertise as a re-usable knowledge graph
• Add context and meaning to your data ahead of your LLM to improve results;
• Support LLMs with private knowledge;
• Act as an LLM-independent associative long-term secure private data memory;
• Reduce LLM functional issues;
• Provide security and transparency with respect to LLM responses.

Join Progress MarkLogic’s Senior Customer Success Manager, Philip Miller as he hosts Imran Chaudhri, Chief Architect, Healthcare & Life Sciences to discuss how MarkLogic & Semaphore can be used to leverage private or propriety data with generative AI. Helping businesses and organizations provide context, meaning, and insight into the data used by AIs, as well as, improving and contextualizing the results.

Imran joined MarkLogic with over 25 years of experience in the industry, to focus on bringing enterprise-quality data platform solutions for managing large diverse data integrations, AI & analytics to the healthcare IT marketplace. Imran co-founded Apixio with the vision of solving the clinical data overload problem & developed a HIPAA-compliant clinical AI analytics platform. Before Anka Systems, Imran was a founder and CTO of FastTide, the world’s first operational performance-based meta-content delivery network.

Date: Sept 21

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