Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Decipad, a no-code startup that’s aiming to disrupt spreadsheets with accessible tools that empower people to play around with numbers, has nabbed $5 million in seed funding. Put simply, it’s building ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Today, during TechEd, the company’s annual event for developers and information technology professionals, SAP announced a ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

DataStax is releasing the first preview of Stargate, a new open source API framework that could eventually turn Apache Cassandra into a multi-model database. It's an approach that has parallels with ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.