More than 1,000 developers have signed up for the IBM Big Data for Social Good Challenge. Have you? See how others are bringing together civic data sets with analytics for Hadoop and solving big problems with big data.
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.
Telecommunications is a necessarily data-driven and capital-intensive business. Mobile network rollouts and the increasing use of mobile devices and social media generate huge amounts of customer and market data. Quick responses to changing market conditions are imperative to remaining competitive.
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop
Data is growing and moving faster than healthcare organizations can consume it, yet getting insights from that data into the hands of practitioners can quite literally make the difference between life and death.
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
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and
Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Using big data and analytics, organizations can empower users to understand their energy usage and give them the chance to reduce how much they use and
Jake Porway, founder and executive director of DataKind and this week’s Big Data & Analytics Hero, shares that they’ve found that "cross-sector collaborations between data scientists, managers, designers, foundations, nonprofits and more are critical for really making lasting change.” When we
Understanding how IBM Infosphere BigInsights, IBM Platform Symphony and IBM GPFS FPO provide a more flexible lower cost solution for multi-tenant Hadoop deployments on System X and Power Linux platforms.
Automotive and manufacturing organizations deal with a massive volume of data, including global data from customers and data generated through internal business operations, research and development (R&D) and supply chain activities. These data sets represent an opportunity for an organization