Tag: IBM


Common Database Design Errors

(Craig S. Mullins) Before we begin today’s blog post, wherein I explain some of the more common mistakes that rookies and non-database folks make (heck, even some database folks make mistakes), I first want to unequivocally state that your organization should have a data architecture team that is re


Is your data ready for AI? Part 1

(Rafi Ezry and Bruce Tyler) Artificial intelligence is a major driver of value for the enterprise. According to a recent AI study from IBM, 82 percent of organizations are now at least considering AI adoption, and the number of companies that are beyond the AI implementation stage is 33 percent high