The era of Excel-based decision making has reached its breaking point. While spreadsheets served businesses well for decades, ...

After operating in a controlled, stealth beta for an unusually long time, ClearStory Data opened the curtain on its “Data Intelligence” product on Monday, illustrating two powerful lessons that will ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Element Analytics Inc., maker of a semantic data platform for use in industrial settings, today announced the availability of its Unify data management platform on Microsoft Corp.’s Azure Digital ...

Let’s not deny it; we’ve all been captivated by the elegant symmetry of Data Products. If you haven’t encountered them yet, you might be living under a rock. But don’t worry, before we delve into ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

AI system interfaces are becoming more engaging. Exag­gerated expectations for AI agents and AI colleagues are swirl­ing, as are attendant discussions of how to control them. With all the focus on ...

With the ongoing rapid increase in both volume and diversity of 'omic' data (genomics, transcriptomics, proteomics, and others), the development and adoption of data standards is of paramount ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...