When you are covering one of the largest sporting events in the world, how do you give fans the best experience possible? Globo TV scored big during the FIFA World Cup in 2014 by listening to their fans with a social sentiment analysis solution from IBM.
Just as today’s businesses need to speed operations and cut costs, the same goals hold true for major sporting events such as the Australian Open Tennis Championships. To help make the Australian Open 2016 event the ultimate experience for online fans and the fans in attendance, see how the IBM
Text mining is the next step in data mining, offering advanced capabilities for extracting meaning from vast, amorphous masses of data. Despite its complexity, text mining has much to offer businesses—and the list is growing. Discover what text mining could mean for your organization today.
Large municipalities need to be ever vigilant in providing essential health, safety, security, social, traffic and other services. What better way to glean their citizens’ sentiments on these matters than capitalizing on social media data channels such as Twitter?
In part seven of this series, we looked at the second key stage within the analytics lifecycle (Analyze), which focuses on analyzing the data and identifying the insights most likely to create a positive business impact. In part eight we will examine recommendations and practical actions for the
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
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,
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
Businesses are plunging headlong into the age of social listening analytics without fully thinking through the many issues surrounding the quality of this intelligence. There is plenty of valuable customer intelligence to be had from filtering the social firehose. However, the overwhelming volume,
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
In our last #CXO twitterchat guest, Seth Grimes, founder, and a principal, of Alta Planta Corporation, led the conversation as we discussed “Sentiment Analysis and the Customer Experience.” Here are some of the nuggets from that conversation.
While consumers may think of social media sites like Facebook, Twitter and Foursquare as places to post musings and interact with friends, leading companies are turning them into extensions of market research departments, using advanced and predictive analytics.
What if you could learn what’s happening as it’s happening, and use what you learn to change what happens next? Sounds like a futuristic sci-fi movie itself, doesn’t it? But it’s not only possible now, it’s happening - even in an industry that hasn't changed much in 50 years.