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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.

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.

Accenture Introduces Predictive Health Intelligence Solutions

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Accenture (NYSE: ACN) has launched Predictive Health Intelligence, a comprehensive set of analytics solutions to help global life sciences companies determine the precise combination of treatments and services that can lead to better patient, provider, and economic outcomes.

Big Data Capacity and Performance Supports Genome Analytics

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When Stanislav Dusko Ehrlich – a world expert in microbiology and a pioneer of metagenomics – and his team set out to create their next generation biotech research platform, they needed a technology solution to support their stringent capacity and performance requirements for big data analytics.

New Market Dynamics Report: HPC Life Sciences

HPC Life Sciences

Scientific research in the life sciences is often akin to searching for needles in haystacks. Finding the one protein, chemical, or genome that behaves or responds in the way the scientist is looking for is the key to the discovery process. For decades, high performance computing (HPC) systems have accelerated this process, often by helping to identify and eliminate in feasible targets sooner.

Interview: Datameer Brings End-to-End Data Analytic Solutions Built on Hadoop

Karen Hsu Headshot

“Datameer is all about providing a self-service, end-to-end experience for big data analytics on Hadoop. From data integration to analytics to visualization, we are wizard-led, point-and-click. Most recently we announced our Smart Analytics module, which allows business users to use data mining algorithms through a drag and drop UI. These new capabilities complement what data scientists are doing and enable business analysts to take advantage of advanced algorithms without involving IT.”

Challenges and Solutions for Genomics in the Age of Big Data

The Genomic Data Landscape

Leading researchers in data science and genomics are recommending strategies to help genomic scientists better manage, share, analyze and archive massive research and clinical data sets in an effort to ensure that the big data explosion results in better health outcomes and faster research discoveries.

Global CEO Initiative on Alzheimer’s Disease Announces a Big Data Challenge

Global CEO Initiative On Alzheimers Disease

Challenge to be first in a series to crowdsource Alzheimer’s data for new disease insights .

Leveraging High Quality Data to Discover Drugs

Thomson Reuters IPS

The IP & Science Business of Thomson Reuters has announced a strategic initiative with NuMedii. The companies will leverage high-quality data, knowledge and predictive technologies to identify therapeutic candidates with the greatest probability for clinical success.