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Discover what’s new in Azure Databricks, from AI/BI Genie and Databricks One to Lakeflow, Iceberg support, and Azure Databricks mirrored catalog -- designed to simplify governance and accelerate AI on an open, secure platform with native Azure integration.
The convergence of Operational Technology (OT) and Information Technology (IT) infused with Data Intelligence represents one of the most significant opportunities for industrial organizations to gain a competitive edge. This blog explores how to unify industrial OT data with enterprise IT data to create intelligence across the entire industrial value chain.
Washington University School of Medicine has partnered with Databricks and Databasin to build a modern, AI-ready data infrastructure. Learn about the transformative work they’re doing with data intelligence.
AI is transforming financial services, with firms rapidly adopting new technologies to boost revenue, manage risk, and streamline operations. At Data + AI Summit 2025, industry leaders explored how Databricks innovations are turning data-driven ambition into practical results—especially in banking, insurance, and capital markets. The firms moving fastest on end-to-end AI and data strategies are already setting the pace for the future.
Ingesting healthcare claims data is a challenge to process at scale. Databricks has developed an open source code repository, x12-edi-parser, also called EDI Ember, to accelerate value and time to insight by parsing your EDI data using Spark workflows. Learn more about how to get started today.
An in-depth look at how the DAXS methodology leverages scalable, explainable anomaly detection for predictive maintenance in manufacturing, using Databricks to manage massive sensor data and boost operational efficiency.
For organizations ready to unlock the full potential of a comprehensive, end-to-end Provider MDM solution, LakeFusion MDM, natively built on the Databricks, offers the capabilities needed to master provider data at scale, drive operational excellence, and enable advanced analytics.
An exploration of how Agentic AI can help game developers create better player-centric experiences. In this blog we’ll define Agentic AI, how it will further game development and then discuss a series of use cases where Agentic AI can add value today and in the near future.
This blog describes how Kard is leveraging a modern transaction categorization approach powered by Databricks Batch Inference capabilities to overcome the limitations of historical, often manual or inconsistent, methods. This scalable and accurate system allows Kard to efficiently categorize billions of transactions, which in turn enables them to power personalized rewards and provide valuable category-level insights to brands and issuers. By investing in this smarter categorization, Kard is laying the groundwork for a truly personalized rewards experience that drives loyalty and value.