Databricks

Databricks consulting and SI partners are bringing an impressive range of cross-industry and function-specific solutions built using Databricks Lakebase, helping organizations accelerate modernization, agentic AI, and operational application development. The latest solutions cover automated database migration, stateful memory for AI agents, real-time personalization, finance, sales, supply chain, HR, customer service, and more. They combine deep domain expertise with Lakebase as the operational backbone for low-latency, governed workloads. Explore the partner-built solutions and accelerators helping organizations move faster without starting from scratch. https://lnkd.in/gJ_SkUaQ

"The agent is completely useless if you can't share sessions with someone and have history and have search and all this layer on top of it for collaboration." Databricks co-founders Matei Zaharia and Reynold Xin joined Latent Space to discuss where AI infrastructure is headed. They unpack why Databricks built Omnigent as an open-source meta-harness, why LTAP unifies storage instead of query engines, and why AI agents need live operational context from databases as they take on more real-world work. Listen to the full conversation. https://lnkd.in/gerR3Yj5

One agent is just the start. Running fleets of AI agents is the next challenge. Join Databricks co-founder Patrick Wendell, OpenAI's 🦄 Peter Steinberger (creator of OpenClaw) and Engineering Lead for Codex, Thibault Sottiaux, plus Stellantis' Hugo Sechier, for a live conversation on building and deploying agentic apps at scale. Learn how to govern AI agents with fine-grained permissions and full auditability, and hear how Stellantis is operationalizing agentic AI across the enterprise. Register today: https://lnkd.in/gM_GvQBi

Lakehouse//RT is built for workloads where milliseconds matter. Powered by the Reyden engine, it delivers millisecond query performance directly on the lakehouse. Preview users have seen up to 16× better performance than dedicated real-time serving layers, with response times as low as 10 ms on smaller datasets. https://lnkd.in/gFy4ErjX

The biggest announcements and technical sessions from #DataAISummit are now available on demand. Catch keynotes and select sessions featuring the latest innovations, including: • Omnigent • Unity AI Gateway • Genie Ontology .. and much more Explore the technologies shaping the next generation of AI apps and agents: https://lnkd.in/gd_2Kw76

As AI teams adopt more autonomous agents, one challenge becomes clear: they don't naturally work together. Omnigent is an open-source meta-harness that sits above individual agent harnesses, routing work across multiple agents through a single orchestration layer. Instead of managing agents in isolation, teams can compose different models and agent harnesses into unified workflows, with shared governance and collaboration built in.

OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna are now available as Databricks-hosted models through Model Serving. Built for complex problem-solving, coding, and budget-friendly workloads, the GPT-5.6 series uses fewer tokens to complete tasks, making the models highly efficient and cost-effective. Access all three through Foundation Model APIs on a pay-per-token basis. https://lnkd.in/gWVeevjm

"Every stateful system has got to have the ability to create a staging environment, branch what you have, and give agents permission to make mistakes." Databricks' VP Nikita Shamgunov joins 𝘐𝘵'𝘴 𝘈𝘣𝘰𝘶𝘵 𝘋𝘢𝘵𝘢 to discuss why branching and version control are becoming foundational for AI-native software development, how teams can manage schema drift as AI accelerates development, and the architectural ideas behind Lakebase. Watch the full conversation: https://lnkd.in/gWYbdptE

Genie One is the data-smart AI coworker that helps business users move from insight to action. With Genie Agents, teams can turn prompts into shareable, autonomous agents that reason over structured and unstructured data. Genie Ontology provides the context layer that helps those agents identify trustworthy sources and understand enterprise knowledge. Together, they deliver AI that's grounded in business context, with higher accuracy and performance. https://lnkd.in/gUfiiGQV

“The attackers are now hyper-automated with agents and large language models that can find vulnerabilities that haven't yet been found by the people who wrote the software.” Databricks’ Andrew K. and NAB's Patrick Wright joined SiliconANGLE & theCUBE to discuss what security looks like in the age of AI. Their conversation covers how broader data context, automation, and agentic workflows can help security teams move beyond manual investigations toward machine-speed defense. https://lnkd.in/gN6EbXG2