The time is now for companies to get started on data science initiatives if they have not already. By addressing these needs early on, data science teams can focus on unlocking the power of their data and driving innovation forward. To learn more download this white paper.
Using the Cloud: Capitalizing on Performance, Analytics and Data
July 6, 2017 by Leave a Comment
Demand for enterprise cloud services is growing exponentially. A recent Teradata survey indicates that by 2020, 90% of their customers expect to have a hybrid cloud environment—and more than 85% expect to buy analytics as a service. Download the insideAI News special report, courtesy of Teradata, to learn more about how to use the cloud to your advantage.
Making Machine Learning Simple
June 5, 2017 by Leave a Comment
For enterprises who need to jump start into machine learning, Databricks provides the performance, reliability, and ease of use to tackle machine learning with big data. With Databricks, teams will be able to focus on solving hard machine learning problems instead of supporting infrastructure. To learn more on making machine learning simple download this white paper.
Configuration for Big-Data-as-a-Service
May 24, 2017 by Leave a Comment
This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.
Bare-Metal Performance for Big Data Workloads on Docker Containers
May 19, 2017 by Leave a Comment
In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData EPIC software platform. The study found that it is possible to run Big Data workloads in a container-based environment without sacrificing performance. The benefits include agility, flexibility, and cost efficiency. Data science teams can get on-demand Hadoop and Spark clusters, while leveraging enterprise-grade security in a multi-tenant architecture. Get the white paper to learn about this breakthrough benchmark study.
insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning
May 11, 2017 by Leave a Comment
AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.
How to Achieve a Customer Centric Culture Supported by Data Driven Insights
April 26, 2017 by Leave a Comment
A company’s culture informs its every effort, from marketing and outreach to the ways in which internal departments work together. In today’s competitive business environment, it’s imperative to implement a customer-centric culture that permeates the entire business, from the very top of the organization down throughout every department sector. To learn more about how to achieve a customer-centric culture supported by data-driven insights download this white paper.
Data Capture and Science Strategy
April 5, 2017 by Leave a Comment
Innovative drug development organizations are leveraging scientific and technical advances to data capture data that is increasingly multidimensional and information rich. However, existing data capture and sharing processes are often unable to support efficient integration and interpretation of this data. To learn more about available technologies available for data capture and relation science strategy download this white paper.
insideAI News Guide to Data Analytics in Government
March 7, 2017 by Leave a Comment
This guide provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. Download this insideAI News guide to data analytics in government.
insideAI News Guide to Use of Big Data on an Industrial Scale
February 7, 2017 by Leave a Comment
In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.
