Blogs

The next generation of in-memory computing has arrived

Eight features that make BLU Acceleration faster, simpler and more agile

September 5, 2014
In today’s fast-paced and information-driven business environment, big data makes the world go around. Being competitive means finding a way to quickly turn massive amounts of information into actionable data. In-memory computing can be a difficult task to negotiate, especially with the time it takes to process massive data sets and the associated costs. Thanks to BLU Acceleration from IBM these hurdles are a thing of the past. Read More

Who's afraid of the big (data) bad wolf?

Are you?

September 4, 2014
The success of big data projects often depends on having access to robust, scalable data integration. You would be hopelessly naive if you didn't acknowledge the fact that integrating huge amounts of data into "data lakes" can be quite burdensome, costly, complex, time-consuming, labor-intensive and so on. Rest assured that big data integration doesn't need to be burdensome, especially if you're wielding the right platforms, tools, personnel and best practices. If you're suitably empowered, there's no need to fear the big data wolf at the door. Read More

Understanding and embracing the Internet of Things

#IoTChat with Ovum's Gary Barnett

September 3, 2014
The “Internet of Things” (IoT) describes the phenomenon of “ubiquitous connectivity” with physical objects, made possible by the widespread use of sensory devices and wireless technologies throughout our environments. Read More

How operational efficiency leads to reducing fraud

September 3, 2014
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the accounts payable process. When this routine investigation turned ugly, it became apparent that there was a real need for attention to fraud identification and reduction in all businesses today. Read More

Raising real-time transaction and analytic processing to the next power

September 2, 2014
Transactions make the world go round, but fast analytics help the planet rotate even faster.   Read More

Orient: Analyzing data in the business moment

Don't go chasing wild chickens

September 2, 2014
Big data can be turned into big business opportunities, but can also send you on a wild goose chase. Using IBM’s four pillar approach (sense, orient, decide and act) you can correct course and shift from reactive to proactive effectively orienting your organization to the business moment. Read More

Big Data & Analytics Heroes: Sharath Cholleti

September 2, 2014
We have a lot of data today, both structured and unstructured, that, when used on time, at the right time, in real-time can save lives. Sharath Cholleti, this week's Big Data and Analytics Hero, gives us a glimpse of how they use data for better patient care. Read More

In-Hadoop analytics

August 29, 2014
Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that's rolled out of the warehouse. If you're going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.  Read More

7 really good reasons to partner SPSS analytics with R

August 29, 2014
The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few statistics or programming experts, but that wants to benefit from R. Read More

How next-generation infrastructure informs better, faster decision-making

August 28, 2014
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today's business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.  Read More

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