Data can change the world, but our data leaders – the people who help spearhead this change – often struggle to do their jobs well. Moving past big data buzzwords, the challenges they face and what ...

Release of Quantum Autonomous Data Management, enabling organizations to understand their data, reduce storage costs and risk, and improve efficiency.

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Data quality management is a crucial aspect ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. Just like 2023, 2024 was a dynamic year for enterprise data ...

Data management as a service is a type of cloud service that provides enterprises with centralized storage for disparate data sources. The label "as a service" references a pay-per-use business model ...

OCP’s APAC Summit highlights AI data center management as operators face denser racks, power constraints, and growing infrastructure complexity.

Organizations are facing unprecedented challenges storing and managing data. Not only must they handle greater amounts of data, but they must also work with different types of data, much of it ...

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

How can investment managers spend less time reconciling data and more time generating insight? Learn how a unified data ...