Dataiku, the platform for Everyday AI, together with Databricks, the data and AI company, revealed survey findings that shed light on AI’s transformative impact on businesses globally. The findings confirm that AI, including Generative AI, is now experiencing an impactful level of business results, matching its rapid rate of adoption.
Survey: Over Half of Senior AI Professionals See at Least 2x ROI on AI Initiatives
August 28, 2023 by
Databricks Signs Definitive Agreement to Acquire MosaicML, a Leading Generative AI Platform
June 26, 2023 by
Databricks, the Data and AI company, today announced it has entered into a definitive agreement to acquire MosaicML, a leading generative AI platform. Together, Databricks and MosaicML will make generative AI accessible for every organization, enabling them to build, own and secure generative AI models with their own data. The transaction is valued at approximately $1.3 billion, inclusive of retention packages.
Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse
March 7, 2023 by
Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Now, organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure.
Snowflake vs. Databricks – Who has the Edge?
December 26, 2022 by
Fivetran recently unveiled the results of a new data warehouse benchmark report that revealed just how close the competition is among five of the most popular data warehouses. The report is the passion project of Fivetran CEO and data management expert George Fraser, who has a front row seat in the cloud data warehouse race. The report explains the cost vs. performance tradeoffs of each one of the warehouses, the ins and outs of the modern data stack, and provides a perspective on how it’s all going to shake out.
Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
November 3, 2022 by
In the video presentation below, learn from experts how to architect modern data pipelines to consolidate data from multiple IBM data sources into Databricks Lakehouse, using the state-of-the-art replication technique—Change Data Capture (CDC).
CIOs Say Data Management is Critical for Successful AI Adoption in New Global Research Report
September 23, 2022 by
A new survey report by MIT Technology Review Insights highlights AI and data management as essential pillars to enterprise success, but found that the majority of survey respondents cited data mismanagement as a critical factor that could jeopardize their company’s future AI success. The report, “CIO vision 2025: Bridging the gap between BI and AI,” was conducted in May and June 2022 in association with Databricks, pioneer of the lakehouse architecture.
Databricks Announces Major Contributions to Flagship Open Source Projects
July 2, 2022 by
Databricks announced that the company will contribute all features and enhancements it has made to Delta Lake to the Linux Foundation and open source all Delta Lake APIs as part of the Delta Lake 2.0 release. In addition, the company announced MLflow 2.0, which includes MLflow Pipelines, a new feature to accelerate and simplify ML model deployments. Finally, the company introduced Spark Connect, to enable the use of Spark on virtually any device, and Project Lightspeed, a next generation Spark Structured Streaming engine for data streaming on the lakehouse.
Databricks Announces General Availability of Delta Live Tables
April 6, 2022 by
Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, announced the general availability of Delta Live Tables (DLT), the first ETL framework to use a simple declarative approach to build reliable data pipelines and to automatically manage data infrastructure at scale. Turning SQL queries into production ETL pipelines often requires a lot of tedious, complicated operational work. By using modern software engineering practices to automate the most time consuming parts of data engineering, data engineers and analysts can concentrate on delivering data rather than on operating and maintaining pipelines.
Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers
January 17, 2022 by
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing.
How ML Powers Data Access Governance with Immuta & Databricks
January 28, 2021 by
If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.
