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News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data

New Accenture Research on Responsible AI Reveals How Organizations Can Prepare for Impending Regulation

New research from Accenture shows that almost all (97%) respondents companies believe that regulation will impact them to some extent. And 95% believe that at least part of their business will be affected by EU regulations specifically. But only 6% are fully prepared to accommodate near-term and ongoing regulatory changes.

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. 

Court Lifts Final Injunction in Favor of Altair in World Programming Case

Altair (Nasdaq: ALTR), a global leader in computational science and artificial intelligence (AI), paid and fully satisfied the 2019 North Carolina judgment SAS Institute obtained against recently acquired World Programming (WPL), a UK-based technology company that specializes in data analytics software. Shortly thereafter on March 3, 2022, the North Carolina court lifted the injunction that had previously prevented WPL from licensing its solutions to new customers in the United States. Altair can now license WPL solutions to customers in the United States and around the world.

Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing

Intel announced that Habana Labs, its data center team focused on AI deep learning processor technologies, launched its second-generation deep learning processors for training and inference: Habana® Gaudi®2 and Habana® Greco™. These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.

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.

The Power of Controlling Data and Not Having Data Control You

In this special guest feature, Ram Venkatesh, CTO at Cloudera, discusses how leveraging data to delight customers, improve decision making, and increase operational efficiency is now possible for companies that commit to becoming data-driven. Like Deutsche Telecom, the key is to use a hybrid data platform to better control and leverage all data and ensure data quality, so analytics teams can deliver truly meaningful business value. 

State of Data Report Emphasizes Emerging Shift to a Decentralized Model

New market research commissioned by Starburst and Red Hat uncovers that 55% of organizations claim the pandemic has made data access more critical, a slight increase from the 2021 study. As a result, enterprises plan to prioritize multi-cloud flexibility and ease of use when it comes to selecting data infrastructure solutions. The second annual report, “The State of Data and What’s Next,” conducted by independent research firm Enterprise Management Associates (EMA), found that the shift to quick and flexible deployments is imperative for driving the business functions and insights required to deliver valuable customer experiences in today’s fast-paced, distributed environment.

Accenture Technology Vision 2022: “Metaverse Continuum” Redefining How the World Works, Operates and Interacts

A new report from Accenture (NYSE: ACN) reveals that the “Metaverse Continuum,” a spectrum of digitally enhanced worlds, realities and business models, is redefining how the world works, operates and interacts. According to the Accenture Technology Vision 2022, “Meet Me in the Metaverse: The Continuum of Technology and Experience Reshaping Business,” businesses are racing toward a future that is very different from the one they were designed to operate in — as technologies, such as extended reality, blockchain, digital twins and edge computing, are converging to reshape human experiences. 

Limitless: The Positive Power of AI Study

Compelling new findings are revealed in Cloudera’s Limitless: The Positive Power of AI Study, which surveyed 2,213 enterprise business decision makers — including 54% C-Suite representation — and 10,880 knowledge workers in the USA, EMEA, India and APAC. It shows that ESG is identified as a top priority for business leaders and those who fail to act for the good of communities put business growth and talent  at huge risk. The study also examines the shift in attitude towards AI, Machine Learning (ML) and Data Analytics across enterprise decision makers, including C-Suite, and knowledge workers.

Data Scientists Reveal Roadblocks to Digital Transformation

Digital transformation has accelerated significantly due to the COVID-19 pandemic, but the extra demands on data scientists have revealed significant barriers to effective working and high levels of job dissatisfaction in some areas. For example, around four in 10 are dissatisfied with their company’s use of analytics and model deployment, while more than 20 barriers to effective working emerged, according to a survey of data scientists commissioned by analytics leader SAS.