The AI race isn’t about models anymore — it’s about who controls the data context. To avoid massive vendor lock-in, you need to own your system's ontology.
The Linux Foundation launched the OpenSharing Project on June 10, 2026, giving enterprises building agentic AI a single open protocol to share AI models, agent skills, and unstructured data across any ...
"Data Engineering with Azure Databricks" is your essential guide to building scalable, secure, and high-performing data pipelines using the powerful Databricks platform on Azure. Designed for data ...
CISOs looking to secure AI systems and data should consider the following options in the quickly evolving AI security posture management (AI-SPM) market. Widespread enterprise adoption of AI has ...
I am here at the Databricks event in San Francisco. I attended the first day's keynote. At an event that drew 30,000 people, the Databricks CEO stated at the very beginning: "AGI is already here. And ...
A set of data, knowledge, rules, permissions, tools, approvals, and audits necessary for AI agents to carry out business operations. In other words, AI-Ready Data is the entrance, the internal ...
Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...
ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...
Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...
Developers building on Microsoft Azure now have access to a catalog that has crossed 11,000 AI models, many of them produced by companies that compete directly with Microsoft’s closest AI partner, ...
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