Moving GenAI from R&D to Production

With so much data generated every second, information overload is a growing challenge. The ability to leverage this data and understand its meaning is critical. Organizations are capitalizing on generative AI advancements to enhance their search and decision-making processes and personalize customer experiences. However, they struggle to integrate these AI models with their private data in a secure and compliant way while maintaining the trustworthiness and quality of the AI outcomes. Agile, semantic RAG-based generative AI can significantly enhance search experiences by retrieving the content most relevant to the user’s query. In this presentation, Imran Chaudhri, Head Architect, AI, Healthcare & Life Sciences at Progress, will outline how organizations can use an agile, semantic-enabled data platform to revolutionize how they interact with data and generate content. Participants will learn how to: - Achieve trustworthy, accurate generative AI outputs - Improve search results by adding context and meaning to your enterprise data so you can provide the best reference content to your genAI - Reduce operational costs associated with RAG implementation Join us to discover how embracing generative AI can optimize your search retrieval mechanisms and deliver unparalleled accuracy for users.