Developer

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

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

Distributing data science brainpower more equitably among the haves and have-nots

October 9, 2014
Data scientists, like anybody else, tend to gravitate to where the jobs are, especially those that fetch higher salaries, offer the resources needed to achieve their dreams and promise more rewarding career paths. For that reason, larger employers with well-established, amply funded big data initiatives tend to have an advantage over smaller organizations when it comes to recruiting the best and brightest data scientists. In order to more equitably distribute data scientist expertise among the haves and have-nots, the requisite skills, tools and platforms need to become more widely available at low or no cost. 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

Why is analyzing text so hard?

September 30, 2014
How can we take documents, email or social media (and beyond) to show what they represent? Read More

Why is big data talked about so much?

September 29, 2014
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-Hadoop, machine learning and much more. Will you join us? Read More

A preview of the Big Data & Analytics on Power Systems action at IBM Enterprise 2014

September 26, 2014
Looking to turbo charge your big data and analytics platforms? Watch the livestream for IBM Enterprise 2014 on October 6 and 7 and get great tips on maximizing your infrastructure for 2015.   Read More

Data science's limitations in addressing global warming

September 25, 2014
Global climate data is massive, diverse and often internally inconsistent. Researchers who attempt to use data science to understand, predict and control global warming find themselves challenged by methodological limitations that frustrate their attempts to fathom this sprawling mosaic. Chief issues include historically thin sources, rampant auto-correlations and heterogeneous data provenance. Tackling global warming requires a harmonious balance between theory-driven domain science and data-driven statistical analysis. Read More

Privacy and the Internet of Things

September 22, 2014
Few people really understand what the Internet of Things really is, much less the privacy implications attached.  Read More

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