Blogs

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

Three things I learned about data warehousing on the cloud at IBM Insight

November 17, 2014
Day to day I tend to forget that my industry (technology), unlike accounting or banking, is at its core is about progression and moving the ball forward. 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

Get started with the Big Data for Social Good Challenge

November 13, 2014
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.  Read More

Pages