Blogs

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

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

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

Who is the chief data officer?

Getting to know today’s hero of data and analytics

October 3, 2014
Chief data officers are leading the charge to transform their organizations to be data-driven and capitalize on the tremendous opportunities data and analytics are creating for data leaders. Hailing from a variety of technical and analytical backgrounds, CDOs have the unique opportunity to shape their new emerging role. Read More

The Internet of Things: A time series data challenge

October 3, 2014
The world is becoming more and more instrumented, interconnected and intelligent, resulting in mountains of newly generated data. With storage costs coming down significantly, companies now want to leverage this instrument-generated data for conducting analysis. Read More

Governance is not optional in big data analytics

October 3, 2014
Confidence in data is essential regardless of the bigness of the data being analyzed. In order to make business decisions based on the analysis of data, you need to be sure that the information upon which you are making those decisions is trustworthy. Read More

Using analytics to help hospitals avoid inadvertently sickening patients and their caregivers

October 2, 2014
The invisible spread of infections in healthcare facilities has continued to run rampant. Healthcare associated infections (HAIs) remain a serious threat everywhere in the world. Nevertheless, pathogen-caused infections, though they spread invisibly in healthcare environments, can be illuminated through judicious deployment of advanced analytics. Indeed, advanced analytics, which involves applying statistical methods to trustworthy data, has long been used to reveal invisible patterns of all sorts. Consequently, their potential role in HAI identification and risk mitigation should be obvious. Read More

Observations, transformations and conversations from the IBM Chief Data Officer Summit

October 1, 2014
Chief data officers and data professionals shared best practices and new insights about transforming the way their companies view data and how to maximize competitive edge in the marketplace today at the Summit last week. 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

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