Driving Breakthrough AI Innovation in Financial Services with a RAG Playground and Agentic AI
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, October 8, 2025
Time: 9:00 a.m. PT / 12:00 p.m. ET
In enterprise environments, traditional generative AI models often fall short due to their limited context, inability to effectively and securely access proprietary data, and a lack of traceability. These are critical requirements in highly regulated sectors such as financial services
One approach to overcome this is to utilize a retrieval-augmented generation (RAG) AI playground. This enables secure, real-time retrieval of enterprise data to ground large language models in accurate and relevant content while building out generative and agentic AI applications.
Join TDWI VP of Research, Fern Halper, Ph.D., along with experts from Databricks and Impetus as they discuss real-world, production-grade use cases and how integrating a company’s proprietary data within a scalable RAG framework significantly improves agentic AI model accuracy, trust, compliance, and time to value.
Topics include:
- The current state of AI applications built using company data
- How RAG can be used to provide context for generative and agentic use cases
- What a RAG AI playground looks like and how ADP and Impetus used it to support AI building
- How Databricks supports generative and agentic AI use cases
Guest Speakers
Prasanna Selvaraj
Solutions Architect
Databricks
Prasanna is a Solutions Architect at Databricks, dedicated to helping clients maximize the value of their data. With deep expertise in cloud technologies, data science, machine learning, Generative AI, and application integration, he partners with enterprises to modernize their data landscape and drive business transformation.
Prasanna specializes in solution selling, guiding clients through process discovery and reengineering to unlock new possibilities with Databricks. He also plays a vital role in shaping product development by channeling client feedback to internal Product and Engineering teams.
An experienced practitioner of Apache Spark, Databricks, and LLM development (RAG, fine-tuning, evaluation), Prasanna combines hands-on technical knowledge with strategic counsel to deliver scalable, cost-efficient, and future-ready data solutions.
Dr. Ravishankar Rao Vallabhajosyula
Global Head - Data Science
Impetus Technologies Inc.
Ravi is a highly experienced data science leader with over two decades of experience in multiple areas, like data analysis, algorithms, mathematical modeling, and simulation.
With an extensive background in leading several successful AI/ML initiatives across various sectors like engineering, life sciences, healthcare, oil & gas, energy, BFSI, etc., Ravi leads the data science practice at Impetus. His global team of accomplished data scientists, analytics and machine learning engineers are responsible for helping customers with innovative and scalable AI/ML solutions to succeed in their digital analytics goals.
Date: October 8, 2025
Time: 9:00 am PT
Fern Halper, Ph.D.