.@philsimon chimes in about data-related accomplishments and challenges.
Reflections on the data-related challenges of today and tomorrow
The case against automating data management
Phil Simon flip-flops from his last post.
The case for automating data management
In the first post of a two-part series, Phil Simon plays point-counterpoint with himself.
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.
How to improve data accuracy
Phil Simon says that the downsides of even a few discrepancies can be enormous.
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.
Questions on data literacy, part 2
Phil Simon raises two key questions to ask in his second post on data literacy.
Questions on data literacy, part 1
Phil Simon chimes in on the increasingly important topic of data literacy.
Making life easier for your data scientists
Phil Simon chimes in with some tips on how to set these folks loose.
Amazon's data train just keeps a rollin'
Think that the company has let up in the last two years? Think again.