How must databases adapt to generative AI, and how should databases be integrated with large language models (LLMs)? These are questions that Sailesh Krishnamurthy has grappled with for several years ...

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

For decades, mainframes and COBOL-based systems have been the backbone of enterprise computing, powering industries such as banking, insurance, healthcare, and government. Despite the rise of modern ...

To build healthier food systems, we need better food data. A new research shows where the gaps are—and how innovations like PTFI are helping to close them In today’s world, we hear a lot about what we ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...