Cloud

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

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

Data, analytics and the need for speed

November 17, 2014
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors. Read More

Uncovering the magic of today’s data-driven marketers

November 10, 2014
At the annual DMA global conference for data-driven marketers we explored best practices and new tools, predicting future trends for a marketing profession undergoing significant transformation. Read More

Bust myths to gain insights and make data work for you

November 10, 2014
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization. During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information Management at IBM, shares highlights and her perspective on how to make data work for you and your company. Read More

Make data work—Know more, faster

November 5, 2014
All the data in the world isn't helpful unless you put it to use. Employees spend countless hours just pulling data together and making sense of it. We set out to close the data divide between those that are able to put data to work, and those that aren’t. Our cloud-born data services provide data professionals and application developers the unique ability to turn data into readily available fuel for their organizations—all anyone else has to do is choose how to apply it.  Read More

Three information infrastructure myths debunked

November 4, 2014
The Information Management keynote session at IBM Insight 2014 brought new product offerings, memorable stories and answers to some common information infrastructure myths. Read More

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