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Survey: Companies are Bullish on Cloud Analytics, But Need to Speed Up the Pace

A majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to a new survey by Vanson Bourne on behalf of Teradata, a leading cloud-based data and analytics company. In the next five years, by the year 2023, most organizations want to run all of their analytics in the cloud. But, an overwhelming 91 percent say that analytics should be moving to the public cloud at a faster rate.

Bitfusion Flex Announces Support for Xilinx FPGAs on AWS F1 Instances

Bitfusion announced that Amazon Web Services (AWS) customers can deploy deep learning workspaces and inference on AWS F1 FPGA instances with Bitfusion Flex.

NVIDIA GPU Cloud Now Available to Hundreds of Thousands of AI Researchers Using NVIDIA Desktop GPUs

NVIDIA announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA GPU Cloud (NGC) as the company has extended NGC support to NVIDIA TITAN.

AtScale Brings its Universal Semantic Layer to the AWS Cloud

AtScale announced the preview availability of its universal semantic platform for business intelligence (BI) on Amazon Redshift. With this offer, enterprises will gain faster time to insight by deploying Big Data Analytics on the Amazon Cloud and benefit from an enhanced ROI by running production-ready workloads on the cost-effective Amazon cloud platform.

Delphix Announces Integration with Amazon RDS, Accelerating Application Development on the Cloud

Delphix, the company that has changed the dynamics of managing and consuming data, announced integration of the Amazon Relational Database Service (Amazon RDS) into its core platform. Enterprises can now look to the Delphix Dynamic Data Platform (DDDP) to quickly and securely manage data for workloads running on Amazon RDS, in addition to workloads running on Amazon Elastic Compute Cloud (Amazon EC2) and other cloud solutions.

Cazena Extends Big Data as a Service Platform with New “App Cloud” to Accelerate Adoption of Partners’ Machine Learning and Analytical Solutions on AWS and Azure

Big Data as a Service leader Cazena announced its new “App Cloud,” which makes it easier for enterprises to deploy a wide range of machine learning (ML) and analytics applications on AWS and Microsoft Azure with instant access to their data on the Cazena platform.

Cambridge Semantics Announces Semantic Layer for Multi-Cloud Environments

Cambridge Semantics, a leading provider of a universal semantic layer for data management and connected data analytics solutions, announced multi-cloud support for Anzo Smart Data Lake (SDL) 4.0, its flagship product that brings business meaning to all enterprise data.

Cloud Computing Leaders Announce New Cloud Analytics Academy

The world’s leading cloud computing companies have joined forces to launch the Cloud Analytics Academy, a training and certification program for data professionals who want to advance their skills for the technology and business demands of today’s data analytics. The academy is the collective effort of data executives at Snowflake Computing, Amazon Web Services, Looker, Talend and WhereScape.

AtScale Accelerates Big Data Analytics Deployments in the Cloud

AtScale announced the availability of a universal semantic platform for business intelligence (BI) with Microsoft Azure HDInsight. With this offering, in one click, enterprises gain faster time to insight by deploying Big Data Analytics on Azure in minutes, and benefit from an enhanced ROI by running production-ready workloads on the productive and intelligent Azure cloud platform.

NVIDIA Launches AI Cloud Container Registry to Accelerate Deep Learning; Volta GPUs Debut on AWS

NVIDIA announced immediate availability of the NVIDIA® GPU Cloud (NGC) container registry for AI developers worldwide. In just a few steps, NGC helps developers get started with deep learning development through no-cost access to a comprehensive, easy-to-use, fully optimized deep learning software stack.