Enterprise data is more complex, diverse and vital than ever. The only problem? The way we store and manage data has remained, by and large, the same. The prevailing data management strategy is to ...

One of the biggest pain points in enterprise computing is putting data in the hands of both the users and businesses. Data intelligence company Collibra NV is addressing this issue by incorporating ...

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. In an era where artificial intelligence is reshaping industries, Oracle has once again ...

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 ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

The company’s keynote presentation highlighted developments in three key areas that will help digital leaders to innovate faster and more effectively. Dynatrace wants to create a centralized and ...

When it comes to managing data, who’s minding the store? Is it the database team? The storage management team? The ERP team? The e-mail folks? The application management team? The e-business team? The ...

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 ...

The importance of databases to modern enterprise AI operations cannot be overstated. Data helps to train and ground AI, and multiple research reports show that without proper data, AI efforts tend to ...

The volume of visual data in the world is simply exploding. Consider these facts: Over 1 billion surveillance cameras are estimated to have been installed worldwide. The global self-driving cars ...

As electronic design becomes increasingly complex, traditional approaches to IP and design data management are reaching their limits. Fragmented systems, inconsistent documentation, and unclear ...