We discuss how you can derive insights from your documents in PDFs, TXT, DOC etc. by using the Generative AI capabilities of HeatWave. HeatWave Generative AI enables users to store the contents of their documents in a vector store and then search them to get relevant answers to their questions, in combination with Large Language model (LLMs). We showcase real-world use cases of generative AI and machine learning with HeatWave, including predictive maintenance, fraud detection, and personalized recommendations. We will demonstrate:
Presented by Sanjay Jinturkar
This event is co-hosted by the New York Oracle Users Group (www.nyoug.org) and Oracle Professional Services firm, Viscosity North America (www.viscosityna.com)
Sanjay Jinturkar leads product development for HeatWave Generative AI & AutoML. In past, he has held multiple engineering management positions in Oracle Labs, Qualcomm and Lucent. His interests include Machine learning, cloud computing, database and architecture. Sanjay has a PhD in Computer Science from University of Virginia.
Viscosity's core expertise includes:
Data Transformation, Emerging Technology, High Availability & Scalability Solutions, Cloud Migrations, Performance Tuning, Data Integrations, Machine Learning, APEX Development, and Custom Application Development.