While nobody can predict the overall future of generative AI, the business case for AI-driven data management is becoming clear. Most early adopters estimate that large language models such as ChatGPT and Bard make them up to 30% more productive, and new domain-specific tools from data pipeline vendors aim to beat these gains. Data teams use language models to document their environments, build pipeline code, run data quality checks, learn new techniques, and more.
Join this strategic discussion with Kevin Petrie, VP of Research at Eckerson Group, and Heine Iversen, CEO of TimeXtender, to explore the impact of language models on data management.
Sponsor: TimeXtender
