The amount of data created is growing rapidly and it is expected that in 2020 we will create a minimum of 40 trillion gigabytes; 40 percent of all this data is expected to come from sensors or machine-to-machine data. All of this data will significantly impact global industries, from creating
What is the "connected car"? How will we, as everyday drivers, benefit from it? How are trucking companies, fleet managers and insurance companies using the data from connected cars to save money and improve efficiency? Kimberly Madia, product marketing manager for IBM big data, explains all of
Luxottica Retail North America is the world's largest designer, manufacturer, distributor and seller of luxury and sports eyewear. To make better use of the data on its 100 million customers, and increase marketing effectiveness, Luxottica turned to IBM. With IBM's Customer Intelligence Appliance (
By now you have, no doubt, read countless New Year’s big data prediction posts. I’m sure many of them gave you a well-informed look ahead to this year’s applications of advanced analytics and cognitive computing to help companies acquire, grow and retain customers.
I’d like to make a prediction
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
Children are such a glorious creation; being a parent of three (eight, seven and five) I’m allowed to pass judgments like these. They can bring so much joy and so much frustration at the same time. And they are absolutely amazing to observe. Take chores for example: asking them to clean their room
IBM has unveiled the new IBM Watson Group via a live broadcast event from New York City. IBM Watson Group will accelerate the development and adoption of a new class of software with cognitive intelligence.
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including
"No one really knows if mobile wellness apps will improve health, at least not yet. The market stats certainly indicate the fascination with mobile health apps:
Juniper Research says that by 2016, 3M patients worldwide will be using remote monitoring devices that use a smart phone as a hub to
At the start of this year, I had discussed in my blog post “Is Customer the King? In Retail, Analytics Say ‘Yes’,” about how the retail industry can leverage big data insights to optimize and personalize customer interactions, improve customer lifetime value, improve customer retention and
The power of the connected consumer, digital influence and ubiquitous distribution are among the factors requiring that movie studios increasingly focus on delivering audience intelligence capabilities to enable the media enterprise business teams.
Consumer products companies (CPs) have been making good use of data for decades. The ubiquitous UPC code certainly contributes to this by providing CPs with warehouses of information that helps them keep operations moving and margins slim while they remain competitive. The information from analysis
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
For consumer products manufacturers, big data analytics is fueling improved business outcomes by applying new analytics capabilities on a vast amount of data. This demonstration illustrates the value of Big Data capabilities to improve sales performance insight and collaboration with retail