Category: AI Governance

Over the years, my career has meandered through a varied software landscape. The past 14 years I have spent at Gartner started with coverage of storage technologies. From …

…organization don’t always know where to get the right data for analysis and know what data to use. My company needs to protect private data for security and for regulation…

Data governance is broken. For far too long, data teams have struggled to maintain data context and curation with limited resources and vision. Data stewards spend too much …

Having an up-to-date data catalog with the right business context is key for organizations trying to enable users to leverage and understand their data to make better and …

Metadata catalogs enable organizations to find the data they need to perform analysis, data science, and governance programs to provide insight to know how data is being used. …

Enterprise companies have too much data to manage using manual processes. Effective data governance requires automation. The volume, variety, and velocity of enterprise data makes it impossible to …

Metadata Management helps organizations understand, manage, and get value from their vast and varied data environments. Organizations collect tremendous amounts of data, stored in various sources and formats. …

Data leaders around different industries are tackling a common issue: how can they effectively apply artificial intelligence and machine learning when it comes to their data governance programs? …