Blogs

Big Data & Analytics Heroes: Ben Snyman

November 25, 2014
“Roof stability and effective support is quite a challenge,” declares Ben Snyman, VP of Underground Mining and Smart Services at Joy Global and this week’s Big Data Hero. “If the roof has a problem, production halts. We cannot afford to wait around for a report telling us there is a problem. Read More

Taking a more refined approach to big data

November 24, 2014
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans, matches, secures and profiles data—that’s what is meant by refinement.  Read More

It's time to use Hadoop for social good—are you in?

November 24, 2014
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you? Read More

Velocity is now the competitive differentiator for big data

November 21, 2014
In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. These shifts are outlined in the new IBM Institute for Business Value study “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace.” This is part one in a multi-part series in easy to consume bites focused on the findings and insights from this study. Read More

Tracking tries and predicting winners

November 21, 2014
The Rugby Football Union (RFU) is currently using the IBM TryTracker to analyze real-time data from England's four international games this month. How has team England been doing? Read More

Announcing IBM DataWorks: A cloud-based data refinery

November 20, 2014
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.  Read More

Cognitive computing: Programming the artificial mind

November 20, 2014
When you want to take artificial intelligence out of the realm of imagination and poetry, and bring it squarely into practical reality, you need computational tools. The tools need to help your cognitive application developers write the leanest models possible. Developers need frameworks, languages and libraries for building and tuning neural networks and other cognitive constructs for most efficient parallel processing of individual data inputs and the outputs of the nodes within a vast artificial neural network. You can acquire these tools from various sources, such as IBM Watson Developer Cloud. And there are as many approaches for building computational applications that learn from data and automate cognitive processes as there are for building traditional application logic. Read More

Powering operational efficiency with IBM Informix TimeSeries

November 19, 2014
How do you streamline operations of a combined cycle power plant consisting of boilers, ACCs, gas and steam turbines, water treatment plants and more that supplies power to 22 percent of a state in Malaysia?  Read More

Big Data & Analytics Heroes: David Vinson

November 18, 2014
David Vinson, business intelligence and analytics lead at Nike, believe that There’s a lot of new data out there—in fact, we now have access to data from the entire supply chain (from provisioning materials to build the shoe, to actually delivering the shoe on the dock, to selling the shoe). Read More

Facts may be dangerous, but context brings safety

November 18, 2014
“Just the facts ma’am” worked well for Joe Friday in the 1950s, however, in our big data world (where factoids pop up at incredible speeds, often with little warning) we need big data technology to help us bring the right context and act in the business moment. You can make big data make sense and discern which facts are relevant to you with IBM Context-Aware Stream Computing.  Read More

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