SCWorx Corp., a provider of healthcare supply chain data management, interoperability and analytics solutions, today announced the deployment of its Artificial Intelligence assisted Data Management ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

Enterprise AI success depends on data readiness for AI, including scalable architecture and reliable data pipelines. Vector databases enable AI systems to retrieve relevant information from large ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

As businesses shift toward smarter digital infrastructures, the database landscape is rapidly evolving. Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

Every investment decision starts with information. The quality of that information determines the quality of the decision. It really is that simple — and ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...