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.

Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data collected at every step of design through manufacturing ...

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 ...

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 ...

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 ...

AI algorithms are being integrated into a growing number of EDA tools to automate different aspects of data management, but they also are forcing discussions about just how much decision-making should ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

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 ...

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 ...

Informatics solutions such as Electronic Lab Notebooks (ELN) and LIMS systems (Laboratory Information Management System or LIS) may be insufficient to manage this amount of data, leading to ...