Databricks

Announcing Public Preview of Zerobus Ingest, part of Lakeflow Connect: Push event data directly into your lakehouse—no message bus required! Simplified ingestion. Reduced latency. Built for scale. - Up to 100 MB/sec per connection - Latency as low as 5 seconds - Native Delta + Unity Catalog integration With Zerobus Ingest, teams can easily build secure, real-time data pipelines for IoT, clickstream, and telemetry data, without the complexity of managing external infrastructure. Learn more: https://lnkd.in/gYFDjagM

Data sharing is now central to how organizations collaborate, and Delta Sharing addresses this critical need for secure data collaboration. It’s the most widely used open protocol for secure data sharing, allowing teams to exchange live data and AI assets without copies or lock-in. With 300% year-over-year growth and 40% of active shares outside Databricks, adoption continues to accelerate. We’ve answered the top 10 questions about how Delta Sharing works, its key features, common use cases, and how to get started. https://lnkd.in/gtTcubeV

AI is moving fast, and the organizations leading the way share one thing in common: a strong data strategy. What does this look like in practice? We teamed up with MIT Technology Review to survey 800 CIOs, CTOs and other technical leaders, and get insight into the most critical pillars of enterprise AI. Key findings include: • 65% of companies have already deployed GenAI — and momentum is building to scale. • 32% of the world’s largest enterprises are now “data high-achievers.” • More than half are doubling down on analytics and data-driven decision-making. Explore the data and C-suite best practices for winning with AI agents: https://lnkd.in/d9KY8_wn

The pace of innovation in Databricks AI/BI keeps accelerating, and the October roundup is packed with updates that make analytics smarter, faster, and easier to share. This month’s highlights include: - Embedded dashboards for external users - A smarter, faster Genie with new APIs and improved benchmarking - Tags and certification for governed, discoverable AI/BI content - New visuals like funnel and waterfall charts Read the full October update to see what’s new and what’s next in Databricks AI/BI: https://lnkd.in/gDYqNZCX

AI agents are transforming how teams work — helping them automate everyday tasks and drive innovation. In this free Databricks training, learn the fundamentals of AI agents in four short videos: • Core components and system types • The role of GenAI and LLMs in enterprise apps • Real-world applications across industries • How to use Databricks AI tools and Agent Bricks to build and deploy agents Start learning and earn your Databricks badge 🔰: https://lnkd.in/grk2HAmq

New Databricks features are changing how teams build with data and AI — including Geometry and Geography data types for large-scale geospatial analysis. With 80+ Spatial SQL functions, these updates make it easier to process and query location data at scale. Just one of several new capabilities Holly Smith and Nick Karpov explore in this episode of Over Architected: https://lnkd.in/gweaabB2

As agents move from prototype to production, success relies on understanding your domain, not just general benchmarks. We're excited to introduce new token-based pricing in MLflow AI evaluations! Build high-quality, domain-specific agents at 95% lower cost without sacrificing performance. As part of this launch, we're open-sourcing production-grade prompts – refined across industry-specific contexts to perform well in real-world scenarios. https://lnkd.in/gp5qPU3q

“To get the value of AI, you need to utilize a single source of truth.” Lou Martinez Sancho, Ph.D, MBB, CTO and EVP of R&D and Innovation at Westinghouse Electric Company, shares how the company is using data and AI to drive innovation, while meeting some of the most rigorous safety and compliance standards in the world. Watch the full conversation: https://lnkd.in/ghB2Y2az

[Demo] Use Agent Bricks to quickly build a production AI agent that transforms unlabeled text documents into a structured table with extracted information. With built-in feedback loops and AI-assisted evaluation, the Information Extraction agent continuously improves, accelerating automation while reducing risk and effort. See how easy it is to build in this demo: https://lnkd.in/gAd7buCB

Machine learning keeps evolving, and so do its use cases. Teams are now applying ML to real problems: preventing stockouts, matching demand to production, detecting fraud, and accelerating drug discovery. This new guide shares practical use cases, code samples, and notebooks to help you get started with your ML strategy: https://lnkd.in/ghbp_FHs