June's AI Executive Order promotes voluntary engagement between AI developers and the federal government, emphasizing vendor management and advanced cybersecurity standards.

Executives need AI knowledge to lead transformations effectively. These leading programs vary in depth and cost, and focus on strategy, governance and practical implementation.

AI tools can enhance sustainability with optimized energy use, improved predictive maintenance and streamlined supply chains while managing their own environmental impact.

The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics.

When connected with relevant context, agents can increase organizational efficiency and reduce spending. When left to guess, they can cause significant harm.

The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers.

Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.

The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.

With agents requiring situational awareness to be accurate, connecting AI with relevant data and business logic has been an almost singular focus throughout 2026.

Awareness enabled by appropriate data and business logic is one of the differences between agentic applications that properly perform and those that never reach production.

Amid slow growth and a sliding stock price, the analytics provider is the latest specialist to join forces with a larger enterprise rather than remain independent.

Companies are deploying AI across their organizations faster than lawmakers are building consistent rules to govern it, leaving CIOs to navigate an expanding patchwork of state requirements.

In today's rapidly changing writing landscape -- just kidding. Most readers are savvy enough to recognize specific phrases as AI tells. Why does AI write like that, and why does it matter?

As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.

Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.

AI growth exposes data centers to power limits, cooling issues, water scarcity and regulatory pressure. Explore the key questions to raise with vendors.

Rising token counts and pull request throughput look impressive, but they miss where AI creates real value: preventing bad decisions and surfacing blockers before they cost time.

Inference is the largest long-term expense in enterprise AI deployments. Businesses can keep AI inference costs in check with these seven optimization strategies.

AI infrastructure requires monitoring compute, network, storage and business metrics to optimize performance, prevent bottlenecks and manage costs.

AI growth exposes data centers to power limits, cooling issues, water scarcity and regulatory pressure. Explore the key questions to raise with vendors.