Enterprise data, particularly unstructured data, is exploding. Gartner estimates, as cited by LUMIQ, that "unstructured data represents an estimated 80 to 90 percent of all new enterprise data and is ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

There are always reasons for asset managers and owners to modernise their technology stacks. But for the growing number of ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

The substantial volume of data collected and analyzed by modern laboratories - irrespective of their sector - means that effective lab data management has never been so important. In this context, ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.