Databricks

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

Premier Inc. migrated to Databricks SQL to support faster, more scalable analytics across a fragmented healthcare data ecosystem serving two out of every three U.S. healthcare providers. By consolidating data and analytics on a single platform, Premier improved developer productivity by 40%, accelerated ad-hoc analytics development by more than 30%, and is projected to save nearly $1M annually. Consultants can now complete analyses in hours instead of days, helping providers move faster on decisions that improve care and operational efficiency. https://lnkd.in/gWeriMWa

We benchmarked coding agents on real engineering tasks across Databricks' multi-million line codebase to better understand the relationship between cost and performance. The benchmark surfaced several key findings. Top-tier performance now comes from a mix of proprietary and open models, token pricing is a poor proxy for real-world cost, and harness choice can dramatically impact both cost and quality. Read how we built the benchmark and what we learned → https://lnkd.in/g6RA75Sn

Agent Bricks has expanded into a comprehensive agent platform for developers. The latest capabilities are designed to help solve three critical challenges in production AI agents: 1️⃣ Choice 2️⃣ Context 3️⃣ Control New capabilities include broader model support, managed agent memory, MCP connectivity, secure sandboxes, and Unity AI Gateway for governance, monitoring, and cost controls, helping developers focus on building production AI agents. https://lnkd.in/g4q4tsKv

Meet Genie, your data-smart AI coworker. Generic AI assistants don't know your business. Genie does. Grounded in your business context, Genie helps every team find trusted insights and turn answers into action.

🧞 Genie Code is expanding to support more complex, agentic data and ML work on Databricks. New capabilities include: → A full-page command center to manage complex, multi-threaded work with thread status, review points, and quick access to instructions, skills, and connectors. → Native intelligence across MLflow, Model Serving, and compute, turning the same agent you already use into a specialist for production ML engineering. Coming soon, scheduled tasks will let Genie Code run work autonomously and hand back the results for review. See it in action: https://lnkd.in/gzFgkiT2

Omnigent now supports contextual policies, enabling session-aware governance for AI agents. Instead of evaluating actions one at a time, contextual policies track what has happened throughout a session to determine whether the next action should proceed. That enables richer controls such as per-session budgets, dynamic risk scoring, and least-privilege access. As a meta-harness, Omnigent applies these policies across supported agent harnesses, including Claude Code, Codex, and custom agent frameworks. Learn more: https://lnkd.in/gKS3z3Ea