Innovative AI Workflows Advanced RAG, Secure Data Sharing, and Clean Rooms on Databricks

In this webinar recording, you can see how AI workflows are transforming, and how organizations manage and collaborate with data on Databricks.

This webinar will explore a range of topics, from advanced retrieval-augmented generation (RAG) strategies, how to secure and collaborative models and data sharing methods, all while maintaining compliance and data privacy.
Topics:

Advanced RAG Strategies: Learn more about advanced retrieval-augmented generation (RAG) techniques, such as chunking strategies for working with big datasets and query transformations that make AI-generated answers more relevant. Learn how to fine-tune RAG workflows to deliver more accurate and contextually aware results.

Secure Data Sharing: Discover tools like Delta Sharing, which allow seamless data sharing across teams and organizations without duplicating data. We will explore how this technology ensures compliance with privacy regulations such as GDPR and HIPAA and showcase a real-world case study demonstrating secure data sharing in action.

Collaborative Model Sharing: Learn how the Databricks Marketplace enables teams to share, distribute, and monetize custom-built AI models. With flexible licensing options, organizations can maintain control over their models while fostering collaboration or generating revenue. Find out how companies are using the Marketplace to advance AI development.

Clean Rooms on Databricks: Explore the power of Databricks Clean Rooms, secure computing environments where sensitive data can be analyzed and shared without exposing raw data. This is especially crucial in industries like finance, healthcare, and marketing, where privacy is paramount. Learn how clean rooms promote innovation while maintaining the highest standards of data security.

About the Presenters:

Venkata Jyothi Kotra
Venkata Jyothi Kotra is the Director of Data & AI at Focal CXM, where she leads Data & AI Solutions for the Federal Government Agency (PRAC). Additionally, she is an adjunct faculty member in Data Analytics at South New Hampshire University. With a deep focus on data modernization, architecture, governance, and enterprise data modeling, Ms. Kotra integrates data, analytics, and machine learning to drive decisions in sales, marketing, finance, and operations. Her areas of expertise include big data, cloud computing, distributed data processing, system upgrades, and business process transformation.

Aditya Maddineni
Aditya Maddineni holds a master’s degree in data science and specializes in applying Generative AI (GenAI) solutions to solve complex business challenges. Through his hands-on experience in real-time projects, Aditya has demonstrated expertise in leveraging advanced data-driven technologies to foster innovation and efficiency across various industries.