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
About us
Databricks is the Data and AI company. More than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
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Ryan Donahue
VP, Head of Design @ Databricks | Design, Data, AI
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Rob Taylor
Strategic Planning ~ Business Operations ~ Global Business Development
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Alfred Chu
VC
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
Updates
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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
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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
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“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
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[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
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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
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Databricks Assistant now remembers your way of working 🧠 With Assistant Instructions, you can set your preferences once — from coding style to data sources — and they’ll carry across every session. No more repeating setup steps or re-teaching the Assistant each time: https://lnkd.in/gnaEDw6c
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ServiceNow’s GTM teams struggled with fragmented systems that slowed decision-making for 2,000+ sellers. By unifying data and running Lead Scoring, Outreach Assist, and Demo Assist on Databricks, they cut processing times from hours to minutes, doubled reply rates, and accelerated deal cycles. Explore how they turned data silos into real-time insights that empower sellers across every stage of the funnel https://lnkd.in/g5rHYAcQ
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Most security teams still work with siloed logs and disconnected tools, which limit their ability to see threats and act fast. This is your roadmap to modernizing security operations – making them unified, AI-powered and resilient. Read the full guide to learn how to: - Optimize and scale security operations with Agent Bricks - Empower teams with self-service intelligence and analytics - Unify all enterprise data for stronger defense https://lnkd.in/gF7ViyXN
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Advertising is evolving fast. Traditional marketing funnels are transforming, and data is more scattered across platforms and formats than ever. AI agents help advertisers keep up so they can focus on continuous optimization – audience segmentation, bidding, and continuous measurement – vs. reactive tactics. Learn how Agent Bricks and a partner ecosystem built for advertising empowers marketing teams to quickly create high-quality, domain-specific AI agents tailored to their marketing tasks and data: https://lnkd.in/g6KB44gk
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