As employees increasingly use AI tools, many organizations face a persisting challenge: building the trust needed to sustain adoption.
Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.
AI agents are already in use or pilot at most organizations, but data visibility, governance and precision recovery capabilities have not kept pace, according to Veeam's new Data & AI Trust Gap report.
Anthropic has introduced Claude Science, a new AI workbench for scientists that integrates research tools, produces auditable artifacts, and connects to specialized life sciences models and workflows from NVIDIA.