What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

Data and analytics needs evolve just as quickly as tools are created for those very needs. The vast quantity of technologies available today may make it rather overwhelming for any data leader to know ...

Traditionally, organizations have interacted with their data warehouses using direct database connections. Although this approach has been the norm for years, it can negatively impact efficiency and ...

Data from process systems has never been more in demand. With Industrial IoT, Industry 4.0 and other initiatives, corporate leaders and government policy makers alike understand the value of remote ...

To adopt AI responsibly, organizations must understand the high-stakes risk profile of video data and take concrete steps to ...

Data migration is the process and strategy for transferring data from one system, database, or storage device to another environment or setup. It can be used in various situations, such as when new ...

Data consumers shouldn’t have to jump through endless hoops just to get the insights they need. Yet, many organizations face slow approvals, confusing processes and fragmented access that delay ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

New policy formalizes how client data is collected, used, stored, and reviewed across operations Leonard Cagno has announced the adoption of a new internal privacy and data handling standard across ...