Technology

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

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

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

The most important webcast you’ll attend this year on big data infrastructure

November 14, 2014
IT infrastructure—it's at the core of everything we do and who we are. Imagine a world without infrastructure: humans would be amorphous blobs, buildings would crumble, cities would be chaos. But, luckily for us, infrastructure does exist and it is the cornerstone of business. Read More

The importance of asking the right questions

November 14, 2014
Each time I am called upon to consult with a business, I ask the same question: “What is your ultimate goal with this project?” Often it is to increase sales via correctly identifying their potential audience or customers. Read More

Chief data officer: My mixed and nuanced musings on the need for one

November 13, 2014
When people say that "data is the new oil," they're usually making a general statement on how deeply modern organizations depend on data to drive transactions, analytics and processes in general. It's in that context that many organizations decide to appoint something called a chief data officer (CDO) to oversee this precious resource. Personally, I'm not sure that the responsibilities of a CDO, as described in these sources and elsewhere, are all that different from the older concept of a chief information officer (CIO). Regardless of what we call this business-focused function (CDO, CIO or even chief analytics officer), it's important that there be a C-level executive who is responsible for overseeing governance of the organization's data resources, ensuring that they be applied effectively to achieve important business outcomes and transforming the organization into a more data-savvy culture. Read More

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