Databricks
Data Platform
Data lakehouse platform, DBRX model, Mosaic ML acquisition.
Recent activity
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Generative AI can deliver real-time insights to executives by assembling a governed view of data from multiple sources, using Genie Ontology for context, Unity AI Gateway for control, and Delta Sharing for choice, allowing for more informed decisions and reducing time spent on manual reconciliation and argumentation. AI summary
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Databricks' Variant data type, now Generally Available, enables teams to ingest semi-structured data flexibly while maintaining structured-like query performance, with 30x faster reads. Variant handles unpredictable schema changes without requiring pipeline updates, and its Predictive Optimization feature automatically improves query performance on Variant data. This allows teams to trade off flexibility for performance when working with semi-structured data. AI summary
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Databricks has completed the acquisition of Panther, combining its mature SOC workflows and software-driven detection engine with Lakewatch's open security lakehouse foundation. This integration accelerates the security lakehouse era by providing a unified platform for security, IT, and business data, enabling security teams to retain petabytes of telemetry, deploy autonomous AI agents for real-time triage, and execute detections-as-code to accelerate incident response. AI summary
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Databricks has isolated compute per workload using Lakebase, allowing FinOps analysts to run massive analytical queries against the exact same underlying storage without impacting the live portal, due to separate compute per workload. AI summary
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Building an AI-forward healthcare organization requires a strong foundation of unified data, governance that people trust, and a repeatable operating model. This foundation enables the organization to build, trust, and scale AI capabilities, rather than just buying more tools or starting long-running proof-of-concepts. By addressing the three blockers that stall most providers – fragmented data, governance that is too rigid or undefined, and a misaligned operating model – healthcare organizations can create a sustainable AI strategy. AI summary
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Databricks has developed a reference implementation and self-deploy accelerator for agentic media buying, where autonomous buyer and seller agents transact on the platform, leveraging open standards such as IAB Tech Lab's Agentic Advertising Management Protocols (AAMP) and Databricks' Lakebase and Unity Catalog for governed data and transactional state management. AI summary
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The agentic code converter in Genie Code, now in Beta, converts proprietary SQL dialects (T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata) to open ANSI SQL by launching swarms of parallel agents that iteratively convert code, validating syntax and semantic intent. This tool supports SQL-to-SQL translation and is part of Databricks' efforts to make data warehouse migration from legacy systems easier. AI summary
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NBCUniversal migrated its data infrastructure to Databricks, achieving a 30% cost reduction through job-specific compute and unified analytics capabilities. The company implemented a phased, partner-led approach with EXL, leveraging Databricks' lakehouse architecture to support data engineering, machine learning, and advanced analytics. The migration resulted in improved operational flexibility, ease of analyst onboarding, and strategic gains, transforming the data platform into a differentiator for the company. AI summary
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Databricks' Genie is a data-smart AI coworker that helps healthcare finance teams protect margin by providing accurate, governed answers to key questions, such as where care costs outrun reimbursement, where earned revenue slips to denials and underpayments, and where cash is trapped in aging receivables. Genie's ontology captures the meaning behind numbers, keeping it current as the business changes, and governance ensures every figure is traced, permissioned, and sensitive patient data protected. This tool enables finance teams to make faster, more accurate decisions, reducing risk across their enterprise investments. AI summary
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Finance protects the margin by ensuring capital is utilized efficiently, as manufacturing companies tie up significant amounts of cash in inventory, receivables, and equipment. AI agents are accelerating planning and finance decisions, making it increasingly complex for finance to free trapped capital. An ontology provides the context needed to understand business meaning and keep it current, addressing the challenge of accurate numbers being incorrect due to partial or dated information. Genie, a data-smart AI coworker, helps finance departments make informed decisions by answering core questions about trapped capital, aging receivables, and idle assets, and continuously learning to adapt to changing business conditions. AI summary
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Energy finance protects margin through constant volatility, with power and fuel prices moving by the hour and PPAs and hedges settling at values far from the books assumed. An ontology is needed to capture business meaning and keep it live as prices, positions, and the forward curve shift through the day, and Genie is a data-smart AI coworker that provides a trustworthy, sourced answer grounded in its ontology and governed at every step. AI summary
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Databricks is helping federal agencies detect and prevent real-time government benefits fraud by leveraging its unified platform for data, analytics, and AI. The platform enables agencies to evaluate transactions in real-time, identify suspicious activity, and make faster, higher-quality decisions, while also protecting critical assistance to legitimate recipients without unnecessary delays. AI summary
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Databricks introduces ProdLine CoPilot, a production line agent system that enables trusted, real-time decisions using compound AI agents. By integrating data from MES, ERP, LIMS, and OT systems, the system provides recommendations and drafts artifacts for approval, streamlining decision-making and reducing cognitive load. ProdLine CoPilot is built on Databricks' unified Lakehouse Architecture and enables human-in-the-loop decision-making without requiring extra work. AI summary
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Agentic AI can help telecom finance teams protect their margin by providing accurate, real-time reporting and billing, identifying and preventing revenue leakage, and proactively surfacing anomalies and discrepancies. This is achieved through the use of a data-smart AI coworker, such as Databricks Genie, which is built to learn the business, sharpen with every question, and show its work, ensuring that finance teams can trust the answers and take informed action. AI summary
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NorthStar Anesthesia, a clinical workforce management company, built a custom scheduling app for its 3,000 clinicians using Databricks Apps in just weeks, addressing a scheduling visibility gap and providing mobile-friendly access to time-off data. The app, built with React TypeScript, features color-coded shift views, facility selectors, and search and filter capabilities, and updates every 30 minutes. This effort demonstrates the company's ability to rapidly build and deploy custom applications on the Databricks platform. AI summary
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Media finance teams need to understand their audience to protect the margin, as the moments that create or lose audience value are increasingly shaped by AI and agents. A data-smart AI coworker like Databricks Genie can help finance teams accurately capture the full value of every audience, by learning the business, sharpening with every question, and showing its work. Genie's ontology and governance ensure that answers are correct and safe to act on, helping finance teams make informed decisions and protect more of the margin they represent. AI summary
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Databricks has made high-QPS scaling for its AI Search feature generally available, allowing standard endpoints to scale to thousands of queries per second with a single configuration parameter. This eliminates the need for replica counts, node sizing, and load balancers, enabling seamless scaling from prototype to production. AI summary
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Databricks governs AI spend at scale by routing every coding agent through Unity AI Gateway, enforcing daily and monthly budgets to prevent runaway AI spend while keeping engineers productive with self-service budget increases. AI summary
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Business users can leverage Genie One to automate high-value, recurring tasks, such as automated business reviews and reporting, meeting prep and follow-up, knowledge work and document automation, and operational monitoring and alerts. Genie One uses data from various sources to generate reports, drafts documents, and triggers alerts, saving time and increasing productivity. By connecting Genie One to existing systems and tools, users can automate workflows and create a library of "saved skills" that can be used across the organization. AI summary
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The EU Digital Product Passport (DPP) requires manufacturers to create a machine-readable record of a product's entire lifecycle, from origin to end-of-life, and make it available upon demand. To meet this requirement, Databricks provides an open Solution Accelerator that enables operational lookups, large-scale analytics, AI, and governed sharing of data, helping manufacturers build a supply chain resilient and audit-ready sustainability reporting system. AI summary
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