How AI and Automation are Shaping the Future of Data Catalogs
Presented by Bryan Jacob, CTO & Founder, data.world
Just a few months ago, ChatGPT became the fastest growing consumer application in history with over 2-million active users in its first two months. Now AI is seen as the next great frontier in data. In this session, we’ll explore how artificial intelligence is changing data cataloging and data governance today, and we’ll look into the future where automation powered by bots are driving unprecedented productivity and efficiency in data work.
AI and NLP Require a New Data Catalog Approach
Presented by Kaycee Lai, CEO & Founder, Promethium
Growing demand for real-time analytics and data insights combined with affordable storage have made data more plentiful than ever, but transforming that data into revenue generating business use cases has become increasingly challenging as data sources are fragmented.
New AI data quality and NLP tools are increasing data operations and business analyst requirements for data accessibility and time to answer.
However, the traditional data catalog has become unable to keep up with the needs of agile business analytics users and efficiency conscious data engineering teams.
In this discussion, we dive into how a data fabric architecture that combines the functionalities of a data catalog with the ability to quickly and easily access data can help your company reach its analytics and data consumption goals.
Data – The Missing Piece in Data Catalogs
Presented by Lewis Wynne-Jones, VP of Product & Connor Wilson, Solutions Engineer, ThinkData Works
Join us as we delve into the core of data catalogs and what’s critically missing from them: data. Our experts will shed light on the essential role of data, metadata, and their combined impact on data discovery and evaluation within data catalogs.
First, accelerate time-to-value through data virtualization, allowing you to access and analyze data from multiple sources in a single motion, regardless of location or format. Then, automated data quality scoring, which empowers you to make informed decisions by assessing data integrity and reliability automatically. Finally, use that data by sharing it through the catalog. Discover how a unified plane of control enables easy and secure collaboration while maintaining compliance and minimizing risks.