big data

#getsimple with your data and get back to innovating

October 31, 2014
Developments in digital technology have created the deluge of information known as big data. Workers in all industries struggle to confront staggering amounts of information and return to creative and innovative work. But further technological developments in cloud-based services may be the solution to helping reap the benefits of big data without suffering the anxiety of information overload. Read More

Sales leaders—ignore big data at your own peril

October 29, 2014
Ignoring the massive wave of new capabilities available by integrating big data analytics into your organization could be career limiting. Read More

Flexibility is key to a smooth big data and analytics journey

October 26, 2014
Embarking on a big data and analytics journey is like setting off on a worldwide tour. You have an idea of what you want to do and see, and what you’ll need, but you must be flexible—your adventure will undoubtedly take some unforeseeable turns! IBM’s new Big Data & Analytics Solution Accelerator offering provides you with access to a catalog of all the big data and analytics software that may be required throughout your journey, with the flexibility to leverage what you need, when you need it.   Read More

Winning the race with analytics: The speed advantage

October 24, 2014
2014 marks several significant shifts in the era of big data, and business executives around the globe cannot afford to ignore them. The most significant change is that velocity is now the value driver for big data. IBM’s sixth annual analytics study finds that organizations differentiating themselves with speed-driven data and analytics practices can significantly impact business performance and competitive position. Read More

Big data for social good, not for profit

October 23, 2014
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at these statistics is: where is big data in the Ebola equation?  Read More

What’s the scoop on Hadoop?

October 23, 2014
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forres Read More

How do you find and define your customers in a big data environment?

October 23, 2014
Every day hundreds of articles and blogs are written about the theoretical value of big data, but many don’t offer actionable specifics. At IBM Insight on October 28, we are correcting this historical shortcoming and showcasing how big data (specifically Big Match) is enabling a single view of a customer in a Hadoop environment.   Read More

Business process management is not at the center of an IoT strategy

October 21, 2014
An Internet of Things (IoT) strategy requires a whole lot more than a business process management (BPM) engine to succeed. Read More

Big Data & Analytics Heroes: Addison Snell

October 21, 2014
Intersect360 Research studies the opportunities for high performance technologies, including high performance computing areas in science, engineering and business. CEO Addison Snell (this week’s IBM Big Data and Analytics Hero) shares his insights with us. Read More

Collaborations and correlations in the common cause

October 16, 2014
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian causes (reuniting refugees, curing infectious diseases, feeding hungry populations and guaranteeing civil rights to the disenfranchised for example) that can benefit from the smartest data scientists applying their best efforts and most sophisticated tools to the task. To sustain the engagement of the data science community in these common causes, what's needed is for people and institutions to open source all of their decision-support assets: data, analytics, tools, platforms and, of course, expertise. Read More

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