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Panasas | August 06, 2020

Panasas® today released Dynamic Data Acceleration on the new PanFS® parallel file system, a proprietary software feature that delivers predictable high performance by automatically adapting to the changing and evolving small file and mixed workloads that dominate today’s HPC and AI landscape. Inconsistent performance and lack of adaptability in the face of change has been a major headache for both application users and storage administrators. PanFS with Dynamic Data Acceleration is...

Business Intelligence, Big Data Management

Sigma Computing | September 15, 2022

Sigma Computing , the fast, intuitive-to-use alternative to traditional business intelligence (BI), announced today that it has partnered with Snowflake, the Data Cloud company, to launch a seamless integration and out-of-the-box experience for joint customers on the Snowflake Healthcare & Life Sciences Data Cloud. The Snowflake Healthcare & Life Sciences Data Cloud offers healthcare companies a single, integrated, and cross-cloud data platform that eliminates technical an...

Data Architecture

OneBill | February 02, 2022

According to Gartner, by 2023, more than 33% of big firms will employ analysts practicing decision intelligence (including decision modeling). As a result, businesses will become increasingly reliant on aggregating data from across the organization to inform descriptive and predictive analytics. OneBill, a provider of end-to-end billing and revenue management software, has seen this rising opportunity to build intelligent analytics using OneBill's diverse data sources and Snow...

tdworld.com | January 24, 2020

For many utilities, this world is not far off. For PECO Energy Co., a subsidiary of Exelon Corp., this world is here now as a result of the Exelon Utilities Analytics Academy. This program is aimed at enabling employees to adopt digital skills, such as machine learning, operational analytics, visual storytelling and automated analysis. This ensures the people who are most familiar with the meaning behind the data also can conduct their own analysis, rather than having to rely on a central group ...