The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
Survey: Over Half of Senior AI Professionals See at Least 2x ROI on AI Initiatives
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.
The insideAI News IMPACT 50 List for Q3 2023
The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
Databricks Signs Definitive Agreement to Acquire MosaicML, a Leading Generative AI Platform
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 Data Reports Shows How 9,000+ Global Companies are Gearing Up to Be Competitive on AI
Data + AI company Databricks has published the 2023 State of Data + AI report, examining patterns and trends in AI adoption across more than 9,000 global companies that use the platform as a foundation for their data efforts. The report paints a pretty clear picture on how enterprises are preparing to stay competitive in this new age of generative AI, with data to support how companies are embracing LLMs and what the fastest growing data and AI tools out there are.
Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse
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.
Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
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
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
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
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.