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.

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.

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 ...

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 ...

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 ...

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 ...

Financial pundits have heralded the democratization of stock market investing with the creation and subsequent initial public offering of Robinhood. The app, which allows stock, option and crypto ...

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, ...

Democratizing data use within an organization empowers employees, fosters greater collaboration, and enables them to make more informed, data-driven decisions. By giving data and analytics tools and ...