This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

Research data management is the care and management of data from all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, ...

What is data management and why does it matter? This workshop will introduce participants to the core concepts of “data stewardship” and the major components of data management across the research ...

In this podcast, we talk to Pure Storage EMEA field chief technology officer Patrick Smith about the issues of data management in an era where the upsurge of artificial intelligence (AI) has created ...

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 ...

These organizations also have a clear understanding of their data estate and actively monitor how it evolves. They have moved ...

The continued unbundling of SoCs into multi-die packages is increasing the complexity of those designs and the amount of design data that needs to be managed, stored, sorted, and analyzed. Simulations ...

Soaring data volumes, increasing data complexity and the growing use of artificial intelligence (AI) are driving organisations to improve their data management practices, according to Christine Low, ...

For many businesses and organizations, project management has received a lot of renewed focus in recent years. One reason for this is that analytics and data-driven approaches have become a high ...