Sign up for our newsletter and get the latest big data news and analysis.

Optimizing Life Sciences – Deploying IBM Platform Computing

high performance infrastructure

In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses.

Big Data and Retail Banking

Guide to Big Data Finance - Thumbnail

This article is the second in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

Saama Listed as a Sample Vendor in Two Gartner 2014 Hype Cycle Reports

Saama_logo

Saama Technologies, Inc., a leading pure-play data and analytics solutions and services company, has announced that Saama is listed as a sample vendor in two recent Gartner Hype Cycle Reports: Hype Cycle for Consumer Engagement With Healthcare and Wellness 2014 and Hype Cycle for Healthcare Provider Applications, Analytics and Systems, 2014.

10 Ways IBM Platform Computing Saves You Money

data center cloud

IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.

Understanding Active Risk Management with High Performance Data

This webinar is focus on understanding active risk management with high performance data and grid management.

InsideBIGDATA Guide to Big Data Solutions in the Cloud

Big Data Business Solution Cloud widget

For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.

Enterprise Risk Management

ibm-logo

Most firms understand that robust enterprise risk management (ERM) will not only improve risk management; it will also help them to measure risk more accurately and develop a more sustainable business model. However, while simple in theory, ERM can sometime be difficult in practice.

insideBIGDATA Guide to Big Data for Finance

Guide to Big Data Finance - Thumbnail

In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

Detroit to Make Real-Time Transportation Decisions with Data Visualization

Bid-Data-2014.

Following the momentum of the Intelligent Transport Systems (ITS) World Congress in Detroit and Transportation Secretary Anthony Foxx’s visit promoting the TIGER M-1 rail grant, Transit Labs CEO and Founder Dag Gogue has announced a partnership with the Detroit Department of Transportation (DDOT) to make the city’s public transportation more efficient.

Big Data Analytics: Gain a Performance Edge with a Hybrid Solution

simon garland head

With a hybrid approach to big data storage, companies can combine the high performance and speed capabilities of in-memory while solving the storage issues by putting the vast historical data sets on disk. By bridging available technologies, companies can deliver on all counts – including cost.