big data

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

UDF: Tiny acronym, big deal in big data

October 16, 2014
It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. So, even to the uninitiated, what is the big deal about UDFs? Read More

10 reasons to love IBM InfoSphere BigInsights for Hadoop

October 15, 2014
IBM InfoSphere BigInsights is an industry-standard Hadoop offering that combines the best of open source software with enterprise-grade features. Let’s talk about some key features of the distribution and the top ten reasons to love it— Read More

Big data for social good

October 15, 2014
Agile development requires agile fingers, and big problems require smart minds working together to solve them. Big data has opened the door for everyone to collaborate, think bigger and drive change in the world. Accessible and open services make harnessing the power of big data for these changes a reality. Read More

Big Data & Analytics Heroes: Steven P. Pratt

October 14, 2014
CenterPoint Energy can analyze 2.3 million smart meters at any point in time every day using InfoSphere Streams. Dr. Steven P. Pratt, corporate technology officer at  Centerpoint Energy and this week’s Big Data & Analytics Hero, shares that “ultimately what we want to be able to do is recognize issues in our system before power outages occur.” Read More

Discrimination drives the need for ethics in big data

October 13, 2014
Big data and analytics are profoundly affecting the world around us. One of the focal points of my postings has been how big data and analytics affects, specifically, our personal privacy. An old and perhaps far too familiar twist on this has risen to the forefront of discussion and that is the issue of whether big data and analytics will be used to discriminate against the less fortunate (or perhaps even “the one percent”). Read More

Legos for grown-ups: Building with IBM Bluemix

October 8, 2014
In the world of big data and analytics, cloud capabilities offer a great opportunity and shorten the path between ideas and action. IBM’s new Bluemix platform for developers continues to grow, offering users new capabilities every day that they can attach, build and deploy for web and mobile app success. Read More

IBM Big Data & Analytics Heroes: Menka Uttamchandani

October 7, 2014
Many businesses are exploring the competitive advantages that data gives their customer experience and their bottom line. Menka Uttamchandani, VP of business intelligence at Denihan Hospitality Group and this week's Big Data & Analytics Hero, shares that “once we understand attitudes, we can reverse engineer our marketing message to reach our high potential guest as well as guests that look like them, that are not yet our guest.”  Read More

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