The amount of data we generate today from machines, the Internet of Things, social and the plethora of mobile devices is overwhelming. Researchers today are already experimenting with vehicles that produce 250 gigabytes of data an hour! The challenge then is to connect all the data we have. Jerry
IBM Brazil is running one of the largest sentiment analysis applications in the history of the country during the most important sporting event on the planet. Powered by solutions such as IBM InfoSphere Streams, it runs on two independent cloud systems provided by IBM SoftLayer. During the games,
We are in a new era of big data where organizations must leverage modern warehouse technologies (appliances, in-memory) to reduce cost and speed up analytics. "A modernized data warehouse takes advantage of new in-memory capabilities and IBM PureData for Analytics, powered by Netezza and DB2," says
Big Data & Analytics Heroes
Richard LeeManaging Partner, Information Management Executive Consulting Services LLC
“There will always be more data than we can use or manage,” says Richard Lee, this week’s IBM Big Data and Analytics Hero. “We simply need to understand what range of questions we are attempting to answer and size accordingly, while doing no harm to our ability to answer future questions yet
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
With big data financial and transactional data no longer in silos, we can now look at them together. Vince Walden, Ernst and Young partner, says that big data technologies allow them to look at data from all angles.
Thomas Baumann, IT performance architect at Swiss Mobiliar and this week’s IBM Big Data and Analytics Hero, shares that once “once response times of analytical reports were improved by a factor of 100 or more, business departments were very interested to apply big data”
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