The following are examples of analytics applied in network security, healthcare and education. Each will discuss the data that is used, the process by which the data is reviewed and an algorithm is derived, the application of the algorithm, the risks raised and how they are mitigated, and how the
Why Internal Branding is Central to Customer Experience Management (RT @clearaction: Why Internal Branding is Central to Customer Experience Management http://t.co/ghRsVQFQrL #CX #customer #experience)...
Jay Liebowitz, editor. (From the preface.)The contributors emphasize the importance of applying intuition, gut feel, spirituality, experiential learning and insight as key factors in a executive’s decision-making process. As we get caught in the quagmire of big data and analytics, it is important to be able to reflect and apply insights, experience, and intuition as part of the executive and managerial decision-making process.
Big data skills remain hard to find, and confusion about how to define what a data scientist does is just adding to the headaches.
The skills needed to wade through the rising tide of big data are in short supply, according to employers, although their unrealistic expectations may be part of the problem of finding the right staff.
On top of this, managers said they found it hard to explain their needs to HR managers and recruitment agencies, and to assess the skills of candidates...
Data scientists are fast becoming the rock stars of the 21st century. Thanks in part to Nate Silver's eerily accurate election predictions and Paul DePodesta's baseball-revolutionizing Moneyball techniques, math nerds have become celebrities. It's debatable how much their work differs from what statisticians have done for years, but it's a growing field, and many companies are desperate to hire their own data scientists. The irony is that many of these math nerds aren't as math nerdy as you might expect.
Information is nothing if we don’t do something with it. The companies that do invest, implement effective data governance strategies, and leverage the right tools both internal and third-party will be the industry leaders. They won’t settle for the 80/20 rule for driving results from their data. They’ll expect to get results from everything, to save everywhere and enhance the customer experience at all levels. The recent Economist article by Schumpeter points out, this won’t happen by “massive, instant holy grail solutions,” but rather by “lots of small advances.”
Emerging technologies are of great interest to a wide range of stakeholders, but identifying such technologies is often problematic, especially given the overwhelming amount of information available to analysts and researchers on many subjects. This paper describes the Emerging Clusters Model, which uses advanced patent citation techniques to locate emerging technologies in close to real time, rather than retrospectively.Patents in emerging clusters consistently have a significantly higher impact on subsequent technological developments than patents outside these clusters.The Emerging Clusters Model may be a useful tool for identifying interesting new technologies as they emerge.(academic)
Cuervo is a firm believer that you need to know where you’ve been before you can decide where you’re going. In this case, it’s important for founders to understand how product personalization in computing has evolved and where it is today so they can decide what their next move should be.
It may be hard to believe that the concept of personalization is as old as personal computing itself, but that’s what skeuomorphic design was all about on the early Macintosh: Folders and files were fashioned to look and operate like their real-life counterparts to ease early adopters into digital work. Obviously since then there’s been a massive jump.
Over the past ten years, consumer technology has gotten to know our names, where we're located, what we’re interested in, and who we’re connected to —both socially and implicitly. It was at the start of this transition that Cuervo entered the scene, joining Facebook right as algorithms were making it possible to give individual users tailored experiences.
“You should presume that someday, we will be able to make machines that can reason, think and do things better than we can,” Google co-founder Sergey Brin said in a conversation with Khosla Ventures founder Vinod Khosla. To someone as smart as Brin, that comment is as normal as sipping on his super-green juice, but…
Big Data is perceived as the next value opportunity for corporations to innovate and grow. To be of any real value, however, Big Data has to become more accessible and understandable to non-specialist users and leave ...