http://ibm.co/5stepsThis big question looms whenever and wherever practitioners all join together to discuss advances, changes and needs in the industry. While, in some ways, the answer is “yes"—because there is a need, a desire and a significant opportunity—in many ways healthcare organizations
The recent controversy over the ethics of Facebook's attempts to influence moods through tweaks to its newsfeed algorithms is overblown. Essentially, Facebook data scientists conducted one of many real-world experiments that are standard operating procedure with them and with most online businesses
Video content analytics tools are humanity's unblinking eyes, capable of continuously filtering the world's media streams at scale. Video content analytics algorithms can parse the fine details within and between successive frames of specific streams, supporting pattern recognition, gesture
The Internet of Things is changing the way we live and do business: billions of connected devices are driving demand for new services, faster development of applications and real-time access to information; the consumer and corporate worlds are intermingling with multi-purpose devices that are
In an increasingly competitive and polarized marketplace with rising customer expectations, the traditional means of competitive differentiation are being challenged as never before. To respond, retailers need to evolve their focus to become customer-centric in both strategy and execution. This
Many make out the data scientist to be a Renaissance woman or man who can single-handedly elevate the organization’s analytics savvy. However, preparing students for corporate roles in data science means training them for many positions on a team. At Arizona State University, we work closely with
A data scientist uses machine learning (ML) to find heretofore unknown correlations and other patterns in fresh data. ML is adept at finding both the "known unknowns" and the "unknown unknowns" through the power of supervised learning and unsupervised learning methodologies, respectively.
The goal of moving beyond basic TV ratings and simple consumer demographics to establishing a secure analytics environment to integrate subscriber, set-top-box and third-party, enriched data in near real time is something leading media and entertainment organizations continue to embrace. After all
Anand Mahurkar, founder and CEO of Findability Sciences, agrees with the pundits who say big data is the new oil or even the new soil. Anand insists that, for tomorrow’s generation, everyone needs to know the data well so that they can run businesses with less friction using this new oil, and farm
Big Data & Analytics Heroes
Nitesh ChawlaFounder, Aunalytics and Associate Professor at University of Notre Dame
Personalized healthcare, learning engagement analytics and climate change are a few of the areas where this week’s Big Data & Analytics Hero Nitesh Chawla has uncovered “gold nuggets.” Learn more about his experiences and see what he thinks is still missing for big data and analytics to really
Research from International Customer Management Institute (ICMI) reveals that only 25 percent of companies feel that their customers are "extremely engaged." How, then, can companies increase customer engagement to cultivate fans? Is creating the same passion in customers as sporting teams a myth?
Big Data & Analytics Heroes
Kelly CarriganVice President, Data Warehouse and Infrastructure, Catalina Marketing
"Every day we’re able to personalize the consumer’s path to a purchase through mobile, online and in-store networks, including doing real-time scoring of a shopping basket at the supermarket checkout," says Kelly Carrigan, VP of data warehouse and infrastructure at Catalina Marketing, and this week