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Shifting to Financial Intelligence: Financial Services at the Data + AI Summit 2025 | Databricks Blog
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.
Training 10,000 Anomaly Detection Models on One Billion Records with Explainable Predictions | Databricks Blog
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.
Simplifying Healthcare Data and Claims Management: Introducing Databricks X12 EDI Ember | Databricks Blog
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.
Accelerating Provider MDM in Healthcare with Databricks and AI | Databricks Blog
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.
Leveraging Agentic AI in Games | Databricks Blog
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.
From labels to loyalty: How Kard is using Databricks AI Functions to power personalized rewards | Databricks Blog
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.