Watch the Webinar

Data teams have achieved incremental productivity benefits by conversing with standalone generative AI tools such as ChatGPT, Bard, and BLOOM. The next step is to take advantage of data management and analytics tools that embed generative AI. These tools offer language model (LM) assistants that help manipulate and interpret domain-specific data through a conversational interface. Down the road, they will empower companies to weave generative AI into their internal applications and operational workflows.

This 3-hour virtual event is designed to help data & analytics leaders evaluate and select products that democratize data access and learn best practices for implementing them. Besides creating short lists of analytics products, it will review best practices for managing data analysts, teaching them business communications skills, and establishing compelling career paths. 

Attendees Will Learn:

● Innovative approaches to implementing language model assistants

● Criteria to evaluate and select the right GenAI-embedded tools

● Ways in which language models learn, process, and generate content

● How GenAI integrates with enterprise environments