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.
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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.
