Effective AI implementation and scaling hinge on governance that ensures the quality of the underlying data. More than half ...

As more critical systems span vendors and service providers, fixing vulnerabilities increasingly depends on organizations ...

Meta is making a significant shift in where it sees its AI business growing: beyond the consumers who use its apps and into ...

Digital twin deployments are becoming more accessible with improvements in data governance and the integration of AI and ...

AI data centers are noisy and resource-intensive, exposing a once-invisible industry. Can they return to the shadows, or must they adapt?

Surabhi Gupta, CTO at Klaviyo, discusses navigating the spread of personal AI agents while maintaining guardrails for the integrity of the IT environment.

As nonprofits look to cut costs through AI and automation, many are discovering that their biggest obstacle isn't budget — it ...

Enterprise software's fragmentation creates a critical flaw: you cannot govern intelligent AI systems on top of fragmented IT ...

In my experience working with CIOs, ERP implementations represent the biggest technology commitment a CIO makes. Typically, ...

In this installment of the Enterprise Resilience series, stakeholders from Mimecast, Everpure and others share their plans to be quantum-ready.

Tim Grieveson of CloudPay and Manish Sharma of Aurigo discuss ways CISOs can credential humans, bots and AI agents within the ...

In, Siya Vansia, chief brand and innovation officer at ConnectOne Bank, discusses nuances of vetting for downstream impact.