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With its new context layer for AI, the vendor is attempting a needed evolution as agents and other cutting-edge tools reduce ...

With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time ...

Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for ...

AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding ...

As enterprises deploy AI agents across business systems, context engineering is emerging as a critical discipline for governance,...

AI agents can pass controlled pilots and still fail in production if organizations have not mapped the workflow, handoffs, ...

Data scientist Arun Prem Sanker explains how cohort analysis can improve segmentation, retention, personalization and customer ...

SAP woos users with more tools to plug customer experience into back-end ERP data.

Having an incident response plan doesn't mean you're ready. Nearly three-quarters of security leaders say their organizations ...

Despite rapid progress in agentic AI, enterprises still face major concerns around control, cost and reliability.