With agentic AI costing more than many organizations expected, the data observability specialist's latest alerts users when the expense of an agent suddenly changes.

With spending on AI spiraling out of control for many organizations, the vendor's latest new feature automates model selection to balance cost and performance.

Experts note that the benefits of going public ultimately outweigh those of staying private, even with the vendor seemingly able to raise unlimited financing.

Flush with funding, the data management and AI vendor continues to make purchases that add capabilities aimed at aiding users building and deploying agents.

Unifying frequently disparate capabilities such as vector embedding, data retrieval and agent workflows helps distinguish the vendor amid a crowded field of data and AI providers.

Integrating GenAI with VoIP can deliver cost savings and efficiency through automated call routing, real-time translation, advanced analytics and intelligent chatbots.

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.