Customer data management best practices offer business opportunities to secure data, engage customers, grow sales, and ...

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Reviews of the FieldMind AI assistant, STACK construction software, WorkMax field data system, Field Guides from Interplay, ...

For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

The Canadian Data Rescue Project is supporting U.S. data rescue efforts, and setting up preventative measures for Canadian ...

Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...

Small to medium-sized businesses should prioritize protecting meeting access and shared data with end-to-end encryption and ...

Virgin Atlantic's VP of data and AI explains how timely insights boost operational performance and deliver better customer ...

"It's really important that any administration protect the American people and the American businesses' privacy of any data that's collected," said Nick Hart.

Only when the underlying data is of high quality and accessible can companies scale up innovation and AI automation, says ...

MCP, an open standard developed by Anthropic PBC, provides a simple way to connect tools, data and services to AI models and ...

Telangana, once a frontrunner in digitising land records, has seen a significant decline in performance under MIS 4.0, ...