Together, IBM and Coriell Life Sciences have teamed up to create a near real-time tool for physicians based on genome sequencing. Using complex genome data, physicians can extract meaningful information about a specific patient to create better, more personalized treatment plans.
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As exciting as the Big Data for Social Good Challenge is, it is also a little intimidating to think of an idea big enough for big data. In this post, I’ll share some tips to get you going on the Challenge. Just like a term paper, beginning is the key to finishing, so let's get started.
Streaming data from multiple medical devices can give doctors better near real-time information about their patients. Using IBM InfoSphere and big data, doctors can look at multiple data streams to dive deeper into patient data and gain more insight.
In October 2014, Forrester Consulting worked with IBM on a commissioned study to analyze the total economic impact that IBM’s Information Management solutions have on three specific big data use cases to help its customers solve important business problems.
Through interviews and data aggregation
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data and reduce cost and risk. Free up your resources and get more out of your data.
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags. 2.4 million videos also were created on YouTube, spreading
IBM developer challenges foster collaboration that can have a worldwide impact. Developers bringing together the power of open data, Hadoop and analytics can solve huge world problems, like the current Ebola crisis.
Create worldwide impacts with IBM Big Data
Chris Clark, COO of Fiberlink (an IBM company), reminds us that “mobile never stops. It runs like water, finds every crevice.” As such organizations (and CIOs) must be fully aware of potential exposures and their risks so that they can adequately protect client data and their organization as a
Andy Hayler, CEO of The Information Difference, tells us that “the average large company has six different competing sources of customer data and nine different competing sources of product data.” For companies to succeed data quality is imperative.
Confidently make decisions with IBM Big Data
SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes
The mobile market is continually growing with “mobile-based payments in the United States expected to reach $142 billion in volume in 2019.” With mobile comes mobile data and the grave need for security. Vijay Dheap, global product manager for IBM MobileFirst, declares that “mobile security
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.
"Most companies are simply not doing enough with their data—leaving them hungry for success.” But, as John Choi, director of product management and strategy for IBM's big data portfolio, explains, that’s exactly what IBM InfoSphere BigInsights for Hadoop wants to change.
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