Search: “databricks”

This article describes how to integrate SAP business context and semantic metadata with Databricks using Delta Sharing, enabling organizations to share and analyze SAP data while preserving business m

Databricks announced the public preview of Lakeflow Designer, a tool designed to simplify data pipeline creation and management within the Databricks platform. The feature likely provides a visual int

Databricks employs Unity AI Gateway budgets to oversee spending on its coding agents, enabling tighter cost controls and optimized use of AI resources. The approach helps the organization balance budg

This Databricks blog post evaluates the performance and capabilities of coding agents when applied to real-world scenarios involving their own multi-million line codebase, likely assessing metrics suc

Databricks implements reliability measures and monitoring systems to ensure consistent GPU performance and availability across its AI platform infrastructure. The article likely covers their approache

Databricks announced a storage ecosystem that enables organizations to govern and manage enterprise data across multiple storage locations and cloud environments. The solution addresses the need for u

This article discusses implementing Bank Secrecy Act (BSA) and Anti-Money Laundering (AML) compliance requirements using Databricks' data platform, likely covering how organizations can leverage data

Databricks Genie is a tool designed to democratize data access within financial services organizations by enabling non-technical users to query and analyze data through natural language interfaces. Th

Databricks Genie enhances supply chain visibility by leveraging real-time AI analytics to provide immediate insights into supply chain operations and decision-making. The solution enables organization

Deutsche Börse developed a generative AI tool to automate the migration of Zeppelin notebooks to Databricks at scale, addressing the complexity of converting legacy notebook formats. The solution leve

This article discusses how Chief Financial Officers at consulting firms can use Databricks' data and AI platform to improve operational margins and profitability. It likely covers strategies for lever

Databricks and Stitch have partnered to address the marketing activation gap by integrating data infrastructure with marketing performance capabilities. The partnership enables marketers to leverage u

Databricks and Stripe have collaborated on infrastructure projects designed to support AI agents, likely focusing on data processing and payment integration capabilities. The initiative demonstrates h

Databricks Genie is an AI-powered assistant that enables users to query data and generate insights through natural language interactions, reducing the need for SQL expertise. The next generation updat

Databricks announced an integration of its Delta Sharing technology with Adobe Experience Platform to enable seamless data exchange for marketing workflows. The integration facilitates agentic marketi

LOTS of alpha in this pod: - Why Databricks beat Snowflake (! a straight answer!) - Why everyone is building a metaharness now - Why the @neondatabase made so much sense (so much @nikitabase glazing i

TriNetX is a global health research network that connects pharmaceutical companies, study sites, investigators, and patients by leveraging real-world data (RWD) from electronic health records acros...

This new era of artificial intelligence is all about getting the most value out of data, and Databricks Inc. is at the center of that development. Following competitor Snowflake Inc.’s annual summit l

This article discusses why Databricks leaders argue that the frontier AI ecosystem should remain open rather than closed, likely covering topics such as open-source AI development, the benefits of col

Agentic artificial intelligence is being misread as a set of separate battles – for example, Snowflake Inc. versus Databricks Inc., copilots versus agents, model makers versus application vendors. We

Databricks has integrated OpenAI's GPT-5.5 model into enterprise agent workflows, enabling organizations to build and deploy AI agents with advanced language capabilities. This partnership leverages D

Conversational analytics, as demonstrated by Databricks' Genie and Lakebase, helps CIOs, CTOs, and CDOs bypass the traditional Business Intelligence (BI) bottleneck. This approach allows enterprises t

This article from Databricks discusses the challenges and inefficiencies of manually building Change Data Capture (CDC) pipelines and advocates for automated or framework-based approaches to streamlin

Databricks outlines eight key AI and data trends expected to transform financial services in 2026, likely covering advancements in generative AI, real-time data processing, machine learning for risk m

GLM-5.2 is the open-source Claude moment. The demand we’re seeing at Databricks is astonishing. The world is going to see massive adoption of oss LLMs. Also, more companies will shift toward post-trai

Agent harnesses are spark LangSmith is databricks harnesses seem to be the abstraction that encapsulates all of the 'business logic' or 'business connections' into a coherent unit that you can iterate

Today’s data lakehouse is no longer mere data repository, but increasingly a system of action, actively executing tasks via always-on, autonomous AI agents. Rather than waiting for static reports, the

Unravel Data Systems Inc. is expanding beyond observability and FinOps software with a new autonomous optimization engine designed to automatically tune and remediate enterprise data platforms running

Databricks introduced Agent Bricks as an enterprise-grade platform for building, deploying, and governing AI agents within the Databricks ecosystem. The platform is designed to address key enterprise

Databricks Research introduced **MemAlign**, a memory framework for AI agents that stores past interactions as episodic memories and uses an LLM to distill them into generalized semantic rules, whi...

The artificial intelligence wave is starting to look a bit like the personal computer era – with some obvious differences. The first similarity is personal productivity. Individuals are taking control

Databricks announced a new feature called Native Lakehouse Sync, which enables seamless synchronization of data between external data sources and Databricks' lakehouse platform. This capability likely

Backstage with Lakebase is a Databricks blog post that likely explores the integration or collaboration between Backstage (an open-source developer portal platform) and Lakebase (Databricks' data lake

Real-time decisioning for AI agents requires a foundational customer context layer that provides unified, up-to-date customer data to enable accurate and personalized decisions. Databricks explains ho

The Data+ AI Summit features hands-on workshops and sessions covering practical applications of AI agents, vibe coding (a Databricks term for intuitive, conversational AI development), and other emerg

Mercedes-Benz implemented a cross-cloud data mesh architecture using Databricks Delta Sharing and intelligent replication to optimize their data infrastructure across multiple cloud providers. The sol

Databricks introduced Genie Agent Mode, a feature that enables autonomous AI agents to perform tasks within the Databricks platform by interpreting natural language instructions and executing data ope

AI assistants interpret user requests, automate routine tasks, and streamline enterprise workflows. Key considerations when choosing one include integration capabilities, data security, scalability, a

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preprocessing. The solution

This Databricks blog post discusses agentic data engineering capabilities enabled by Genie Code and Lakeflow, which are tools designed to automate and streamline data engineering workflows through AI-

This Databricks resource discusses production-ready architectural approaches for integrating multimodal data (structured, unstructured, images, text, etc.) in healthcare AI systems. It likely covers b

A transactional database is a database system designed to process and manage individual transactions with strict ACID (Atomicity, Consistency, Isolation, Durability) compliance to ensure data integrit

The article discusses the launch of a revamped Monday Morning Report powered by generative AI, designed to automatically aggregate, analyze, and present key business metrics to executives. By leveragi

Enterprise AI agents lose effectiveness when they must access data outside of protected, governed systems. The article argues that truly reliable agents need to be *data‑native*—run directly inside th

This Databricks resource covers best practices for implementing automatic upgrades on lakehouse tables, likely discussing how to leverage automated features to optimize table performance, maintain dat

Barracuda has integrated with Databricks' AI assistant Genie to enable natural language querying of security logs, allowing security teams to analyze and extract insights from log data through convers