With one half of 2013 behind us, let’s take a look at what has been on the top of your mind over those six months. All week long, we will be reviewing the most read, most watched and most listened to content on IBM Big Data Hub. Today, we’ll look at the top 10 most popular podcasts.
Top 5 Big
Here’s a big data problem for you. Let’s say you’ve accidentally traveled back in time 30 years and the only way to get Back to the Future is to transfer 1.21 Gigawatts of energy into a beat-up DeLorean.
Well, back in 1985, the solution, by Hollywood standards of course, was the
Big data presents important opportunities for enhancing the efficiency, safety, productivity and cost-effectiveness of oil and gas operations. Yet it comes with an array of operational technology challenges that often impede the use of big data for operational gains. For example, companies need
After a successful promotion, a consumer products company minimizes OOS and maximizes sales
In April, I introduced a video demonstration called Optimizing Consumer Product Promotions Effectiveness with Analytics. In this demo we met Mary, the marketing brand manager for DuraBar, a nutritional bar
With multiple channels and numerous ways to interact with companies, today’s customer journey is a complex weave of paths. Often, customers start and end their journey before the business is even aware of it. With today’s competitive market place, the companies that best understand their customer–
This first posting of a seven-part blog series is my attempt to present, in small, easily consumable bites, findings from IBM Institute for Business Value and University of Oxford’s study and excerpts from a white paper, “Analytics: the real world use of big data in financial services.”
I’ve been trying to delve into a topic I normally avoid—clinical trials. But it’s not about how clinical trials are run, or how to design one. I’m more interested in what happens to clinical trials data once they are completed.
Do folks actually mine their clinical trial archive for insights?
Colin White and I recently wrote a white paper for IBM titled Technology Innovations for Enhanced Database Management and Advanced BI. In it we discussed the fact that IT leaders across all industries need to review and enhance their information architecture to support new requirements, such as big
Analytics solutions designed to handle the volume and variety of data available today also help insurance companies improve catastrophe risk modeling, through which companies determine the exposure of current policies and predict the probable maximum loss (PML) from a catastrophic event.
Across industries, big data has generated big buzz – and the travel and transportation (T&T) industry is no exception. In fact, T&T CEOs rank the “information explosion” among the top drivers of transformation for their organizations. In this blog, I want to discuss some of the ways in
In the extremely competitive automotive industry, leaders are looking for ways to differentiate their products by offering an improved driver experience.
One way to achieve this objective is to leverage the wealth of information coming from an increasingly instrumented world. Industry analysts
Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity. At The Big Data Institute (TBDI), big
We’re kicking off our new, Friday afternoon big data show! Big Data Bytes (2pm ET each Friday) pairs IBMers with marketplace experts and promises to serve up a recap of big data happenings of the week with a dose of witty (sometimes snarky) banter. On June 14th join us live and participate via
Just like the technology made available 100 years ago to discover oil and process it into consumable products, big data technology is still in the early stages of transforming and revolutionizing the way enterprises consume and use data more effectively to market and drive their businesses.
As industry marketing manager for Communications, I want to share with you highlights of the 2012 Big Data@Work Study covered in the executive report: Analytics: Real-world use of big data in telecommunications. The study and report, from the IBM Institute for Business Value (IBV) and Saïd Business