In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in ...

In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with ...

Organizations are now in an age where keeping every byte of data is necessary. Why? Because amassing and curating a company's unique data will drive business-changing results with their AI initiatives ...

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 ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

Data security posture management (DSPM) tools help security teams to look at the entire data environment and find shadow data, reducing the risk of data loss. Tracking down sensitive data across your ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...