Which data sources will organizations use to make AI as effective as possible?
Phil Simon weighs in on using data to make the most of AI.
Uncategorized
How to improve data accuracy
Phil Simon says that the downsides of even a few discrepancies can be enormous.
How data quality improves artificial intelligence
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.
CCPA and the definition of personal information
The broad CCPA definition of personal information could open a can of worms for compliance and governance.
Data stewardship for artificial intelligence
Jim Harris says curating AI’s curriculum is the responsibility of data stewards.
The importance of data governance: An interview with UNT
Learn why Jason Simon from UNT calls data governance critical.
Why organizations' AI efforts will require retiring data sources
There's a chasm in today's business world between "can" and "should." Let's hope that gap closes soon.
Data classification for governance: An approach to data protection and compliance
Learn about the role data classification plays when governing a diversity of data policies.
Data stewards – Why they’re the unsung heroes of the business
Expect to lose time if you don't include a data steward in your project until you're reviewing the data model.
Questions from CDOs and CAOs: Getting harder as the game evolves
Todd Wright says questions from the C-suite morph as the complex data and analytics landscape evolves.