Data democratization should be a top concern for every company moving forward. We’re approaching a point where the problem of too much data (and too few insights) can’t be ignored any longer.
There’s no shortage of clichés for why enterprises should care about data, but talking about the importance of data and making it useful for enterprises are two very different things. SEE: Data ...
With available data for most business users being orders of magnitude greater than it was 20 years ago, the problem now among most companies is access for business users without overloading analytics ...
Machine learning and artificial intelligence (AI) were once concepts relegated to only the most optimistic observers, much like self-driving electric vehicles and smartphones once were. But if it ...
A big push is underway to democratize AI, though we need to figure out what this actually means and what it foretells. Artificial Intelligence (AI) for the people, by the people, and of the people.
Generative AI promises a future where you no longer need to be a skilled writer to draft a story or a trained software engineer to code. But there’s a dark side to this democratization: AI is enabling ...
In the Information Age, the power of data has been mostly kept in the hands of a few data analysts with the skills and understanding necessary to properly organize, crunch, and interpret the data for ...
In this series we examine some of the most popular doomsday scenarios prognosticated by modern AI experts. Previous articles include Misaligned Objectives, Artificial Stupidity, Wall-E Syndrome, ...
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