6 min read
1 min read
Unlocking AI Language Models for Data Management
Written by: TimeXtender - September 12, 2023

INSIGHTS FOR DATA AND BUSINESS LEADERS
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. But Chief Data Officers and business leaders must tread with caution. They must understand new risks for data quality, privacy, intellectual property, fairness, and explainability. They must adapt their data governance programs to control these risks, train their teams on prompt engineering, and give careful thought to evolving team responsibilities.
By adopting these guiding principles, CDOs and business leaders can democratize business consumption of data for analytics--unleashing unprecedented productivity gains. Watch 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.
You will learn:
- The definition of generative AI and language models
- The business benefits and costs of applying language models to data management
- Guiding principles for successful adoption and bottom-line results
6 min read
Why Data Transformation Is Vital for Effective Data Integration
Nov 22, 2023 Written by Aaron Powers, Content Marketing Specialist
4 min read
Why and How To Enable Data Science with an Independent Semantic Layer
Nov 13, 2023 Written by Kevin Petrie, VP of Research, Eckerson Group