Semantic layers are an increasingly pivotal architecture for enterprise AI, enabling AI systems to more accurately identify relationships between conflicting data points.

Traditional strategies that protect infrastructure systems are not enough with agents autonomously accessing data and threat actors using AI to discover new vulnerabilities.

AI deployment decisions don't exist in isolation. The best environment is the one that delivers the most value for each specific AI workload given cost and governance constraints.

New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.

CIOs and other IT leaders can gain an edge with machine learning, from customer retention to patient care. Blending ML with other AI elements opens new possibilities.

New capabilities address the data sprawl that sometimes stops enterprises from successfully building agents and could help differentiate the vendor from competitors.

Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?

AI chatbots are smarter, faster and more versatile than ever. See how top platforms like OpenAI's ChatGPT, Anthropic's Claude and Microsoft's Copilot stack up in this hands-on comparison.

Machine learning applications in the era of GenAI and AI agents are increasing the efficiency and accuracy of everything from decision-making to maintenance to service delivery.

With context key to agents performing in production, the tech giant's latest new features aim to feed cutting-edge tools the situational awareness they require.

Features address context for agents, readying data for AI, cost control, security and flexibility to help users overcome problems that prevent pilots from reaching production.

I care about sustainability, but at heart I am an AI advocate. Does that make me a bad person?

Corporate AI strategies prioritize speed, but when everyone accelerates equally, the advantage disappears. Real competitive edge comes from using AI to sharpen strategic thinking.

AI experts warn of catastrophic AI risks, but governance lags, with security concerns driving policy while broader risks aren't being fully addressed.

The record-setting debut asks investors to buy into an integrated hardware and software infrastructure play that spans space, energy and data resources.

Service desk automation combines AI, workflows and self-service tools to reduce IT costs, improve resolution times and scale support.

The open source protocol modernizes collaboration by enabling teams to share AI assets such as AI models and agent skills across domains and with external partners.

AI is nearing a reset, shifting focus from hype to measurable value. CIOs must reassess investments, prioritize ROI and guide their organizations toward a sustainable AI strategy.

AI development initiatives hinge on the quality and completeness of the underlying data, but research from BARC shows that many organizations struggle to operationalize key data.

The White House's voluntary AI executive order creates a prerelease review process for frontier models, raising questions about release timelines, vendor trust and enterprise procurement.