The Data Leader’s Guide to Generative AI, Part I: Models, Applications, and Pipelines
ABSTRACT :
Data leaders must prepare their teams to deliver the timely, accurate, and trustworthy data that GenAI initiatives need.
Read MoreABSTRACT :
Data leaders must prepare their teams to deliver the timely, accurate, and trustworthy data that GenAI initiatives need.
Read MoreABSTRACT :
Data catalogs evaluate and control the accuracy, explainability, privacy, IP friendliness, and fairness of GenAI inputs.
Read MoreABSTRACT :
The need for an independent semantic layer continues to rise as data science gains traction in the enterprise.
Read MoreABSTRACT :
Generative AI initiatives will require new data pipelines that prepare text files for querying by language models.
Read MoreABSTRACT :
This final blog in the series recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project.
Read More