Proactive BI and a natural language-powered app development tool show progress toward an AI-powered platform, while tight integration with Salesforce provides differentiation.

Just as BI was built on a bedrock of high-quality, relevant data, AI tools are only as trustworthy as the data that informs them.

Lineage tracing in AI Governance and governed access to unstructured data advance the platform and keep the vendor in step with what competitors are offering.

The vendor is adding tooling from its GraphAware acquisition to go beyond fraud detection and differentiate itself from those providing only part of the crime-stopping ecosystem.

New features such as an MCP server and a studio for transforming datasets into agents aid the vendor's transformation and help distinguish itself from competing providers.

The integration enables Cloudera customers to keep data secure when building and deploying agents and helps differentiate the vendor from some of its competitors.

Adding sequential search to improve the speed and accuracy of responses to complex queries evolves existing capabilities and keeps Databricks in step with competitors.

As AI adoption accelerates, AI certifications and courses have proliferated. These offerings here go beyond the basics, deepening your knowledge of this rapidly evolving technology.

As multifunctional contact centers grow more complex and vital as revenue and relationship centers, generative and agentic AI have become a foundational component.

The Agent Control Plane combines previously disparate capabilities in one environment to help users better observe and command their fleets of agents.

IT automation uses instructions to create clear, consistent and repeatable processes that replace an IT professional's manual work in data centers and cloud deployments.

With AI tools requiring massive volumes of vectors to perform properly, the public dataset is designed to help organizations test their systems in real-world conditions.

A knowledge layer and headless analytics capabilities show that the vendor is changing to meet the needs of its users as AI reduces the need for traditional BI.

IT automation uses instructions to create clear, consistent and repeatable processes that replace an IT professional's manual work in data centers and cloud deployments.

While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on new importance as agents increase vulnerabilities.

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.