Data and AI Content Business Leaders Can Actually Use

Data governance in the AI era matters more than ever, as business leaders must innovate and manage ever-evolving risks. This article explains how to iterate, keeping DG policies relevant.

Many organizations struggle to implement AI and technical initiatives because they focus on technology while neglecting workforce transformation. Learn from the presentation at DATAVERSITY’s DGIQ + EDW conference on how how organizations can systematically assess and modernize their workforce data capabilities, aligning them with their technical implementations

Your readers are now asking AI tools instead of searching Google for your trustworthy content. Learn how to make your content AI-friendly with simple changes. Let them know about your authority.

Large Language Models (LLMs) are advanced artificial intelligence systems that understand, process, and generate human-like content. This understanding sheds light on their implications for data management, particularly in areas like Data Stewardship and Master Data Management. Additionally, as we delve into the workings of LLMs, we can explore how they relate to concepts such as a Data Dictionary and the use of a Graph Database, considering their types and potential future developments.

When incidents occur, security teams face complex decisions about sharing BWC footage while complying with the Health Insurance Portability and Accountability Act (HIPAA). Learn how healthcare organizations govern body-worn camera (BWC) footage to balance workplace security with patient confidentiality.