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.
News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data
Intel’s Habana Labs Launches Second-Generation AI Processors for Training and Inferencing
May 10, 2022 by Leave a Comment
Databricks Announces General Availability of Delta Live Tables
April 6, 2022 by Leave a Comment
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.
State of Data Report Emphasizes Emerging Shift to a Decentralized Model
March 30, 2022 by Leave a Comment
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.
The Power of Controlling Data and Not Having Data Control You
March 30, 2022 by Leave a Comment
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.
Accenture Technology Vision 2022: “Metaverse Continuum” Redefining How the World Works, Operates and Interacts
March 25, 2022 by Leave a Comment
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
March 16, 2022 by Leave a Comment
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
February 12, 2022 by Leave a Comment
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.
Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers
January 17, 2022 by Leave a Comment
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.
Cloudera Shines Educational Spotlight on Data and AI with Children’s Book for 8- to 12-year-olds
September 30, 2021 by Leave a Comment
Cloudera, Inc., the enterprise data cloud company, announced “A Fresh Squeeze on Data,” a downloadable children’s book that explains simple ways to problem solve with data in a manner that kids can understand. The book was created in partnership with education company ReadyAI, with the goal of making data and AI more interesting and accessible to 8- to 12-year-olds.
5 Mistakes to Avoid when Replatforming from Teradata
August 6, 2021 by 2 Comments
In this special guest feature, Mike Waas, CEO of Datometry, takes a look at why so many companies are replatforming from Teradata, and the mistakes enterprises should avoid to help them succeed, for example, rewriting ETL when going to the cloud.
