Unity Catalog

Databricks has announced the general availability of three complementary capabilities in Unity Catalog: Attribute-Based Access Control (ABAC) policies for row filtering and column masking, governed tags, and agentic data classification, enabling dynamic, standardized, and automated data governance.

Databricks Genie redefines enterprise conversational intelligence by democratizing data access through natural language, delivering cross-industry and functional solutions across financial planning, legal compliance, and IT operations to accelerate insights and decision-making.

Databricks introduces a production-ready AI agent observability solution using Unity Catalog and OpenTelemetry, storing traces as Delta tables in the Lakehouse to enable long-term retention, SQL analytics, PII governance, and MLflow-based evaluation loops.

Databricks leverages MemAlign to enhance the evaluation of Genie Code’s traditional ML code generation, enabling automated 9-dimensional scoring via LLM judges and significantly narrowing the gap with human experts.

Databricks推出新流程，通过AWS IAM临时委托简化S3连接，提升安全性与效率。

FDA通过整合数据平台和AI工具，实现85%员工日常使用AI系统，将监管研究时间从数天缩短至3分钟。

数据原生AI代理通过将模型与数据平台集成，解决外部代理导致的治理漏洞、性能损耗和成本问题，成为企业AI架构新方向。

Databricks推出Feature Views，通过统一定义特征逻辑消除训练/服务偏差，实现高效实时推理。

从Azure Synapse迁移到Databricks Lakehouse可简化架构、提升性能并降低成本。

Barracuda通过Databricks Genie实现自然语言日志搜索，使安全分析效率提升并保障多租户数据隔离。

AVL 使用 Databricks 的 Impulse 框架，将测量数据分析从传统工具迁移到湖仓一体架构，显著提升效率并实现数据治理。

英国学生办公室通过Databricks平台提升数据分析效率，显著缩短处理时间并优化学生监管决策。

Databricks 提供了一种 ETL 迁移决策框架，建议根据工作负载选择 Lakehouse、Spark Declarative Pipelines 或 PySpark，并采用分阶段迁移策略。

Databricks 和 NVIDIA 合作推出 Genesis Workbench，为生命科学领域提供基于 GPU 的 AI 解决方案，支持药物研发全流程。

Databricks 连续两年在 Gartner 魔力象限中排名第一，因其在 AI 平台执行能力和愿景完整性方面的卓越表现。

Databricks 通过 Kythera Labs 的 AI 平台，使医疗系统能快速获取战略决策所需的数据洞察，提升效率并减少损失。

Daikin Applied Americas 使用 Databricks Genie Code 通过结构化方法和 AI 工程提高数据管道构建效率。

梅赛德斯-奔驰韩国通过构建统一的语义层，实现了AI驱动的“Talk to Data”能力，为全球市场提供可扩展的自服务分析解决方案。

Databricks 提供了一整套 BI 服务解决方案，从物理层到语义层，优化查询性能和成本。

PipelineIQ transforms messy CRM data into clear actions using AI, helping teams decide which deals to walk away from, pivot, or accelerate.

Databricks launches MCP Marketplace, enabling real-time data and model integration to significantly enhance response speed and decision-making in agentic applications.

The World Bank Group built a unified data and AI platform on Databricks to integrate structured and unstructured knowledge for the first time, enabling intelligent Q&A and outcome-driven decision-making across global development projects.

High-quality data is critical to a successful AI strategy.

Databricks leverages the Lakehouse architecture and AI to transform unstructured groundwater archives into a searchable database, enabling millisecond retrieval and semantic discovery in water resource research projects.

Databricks launches the generally available version of Catalog Commits, converging open table formats with open catalogs to enhance data change tracking and cross-system collaboration.

Databricks proposes re-architecting distributed systems for serverless environments by decoupling compute, storage, and metadata to improve performance and reliability.

Unity Catalog prevents unauthorized AI agent operations through fine-grained access control, audit logging, and AI-specific governance frameworks, ensuring secure and controllable enterprise AI applications.

Databricks introduces Genie, an AI-powered data agent enabling natural language queries and automated insights with sub-2-second response and over 90% accuracy.

Databricks emphasizes that AI success depends on high-quality data rather than just model improvements, arguing that data cleaning, governance, and unified platforms are foundational to reliable AI — not merely chasing larger models.

Databricks 公布了 2026 年全球合作伙伴奖项的获奖名单，涵盖多个行业和地区。