Advanced analytics, reporting and aggregation software for social media is everywhere these days. As a social media manager, my job is to keep testing out these tools all the time. In all of this testing, seeing a disruptive product that makes you stop and think is rare. And yet I’m pleased to say
Organizations don’t have to be helpless in the face of emergencies and disaster events. Using the power of data-driven impact analytics, organizations can anticipate and simulate emergency scenarios to improve response decisions and reduce economic and human costs.
Video analytics can turn the billions of hours of video captured by video cameras each month into data. Application of big data analytics can then provide insight that cannot be gleaned from video alone.
Gaining a 360o view of customers can provide organizations with valuable information about how to better serve their customers and foster greater brand loyalty. But traditionally, marketers use costly and time-consuming methods to gain that knowledge.
Now, data-driven insights are generating a
One of my primal memories as a very young child was seeing the original of “The Blob” (the movie starring a young Steve McQueen) in the theater with my parents. IMDB describes its plot succinctly: “an alien lifeform consumes everything in its path as it grows and grows.” It totally freaked me out.
IBM InfoSphere BigInsights is our Hadoop-based big data platform. Join Nicolas Morales of IBM's Big Data Enablement Team as he walks you through a big data solution using BigInsights to capture, store, transform and analyze social media data. For more information about BigInsights, visit ibm.com/
We’re continuing our look at the most popular content on IBM Big Data Hub for the first half of 2013. Here are the most-watched videos.
Big Data, Big Opportunities for Communications Service Providers
Big Data, Big Opportunities: Energy & Utilities
T-Mobile: Network Engineering Success
Given the explosion in the volume, variety and velocity of data growth, it is clear that big data has a low value per byte compared to the traditional enterprise data. An oft repeated analogy to this is a gold mine where you dig tons of dirt to discover an ounce of gold. But, enterprises can still
You like videos and we like making them for you. This week, for our Friday Data Flick feature, we bring you three new videos: two that help you understand more about the top uses for big data and one that takes an in-depth look at Hadoop as a data warehouse.
Top Big Data Use Cases Explained
This live video chat, "Big Data Management: After the Launch," featured an interactive discussion moderated by Jeffrey Kelly, Principal Research Contributor at Wikibon.org and a Contributing Editor at SiliconANGLE; James Kobielus (IBM), Nancy Kopp-Hensley, Sr. Program Director for IBM PureData
Dirk de Roos, IBM's technical sales lead for Big Data discusses the Machine Data Accelerator, a set of building blocks designed to help customers extract value from an important source of Big Data - machine generated data including sensor data and log data.
In this series of videos Andrea Ames explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In the final part of this series, Andrea explores significance analysis.
In this series of videos Andrea Ames explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In part 4 of this 5 part series, Andrea works through an example of frequent sequence analysis.
In this series of videos Andrea Ames explores the capabilities of IBM's Accelerator for Machine Data Analytics, a collection of Big Data applications used to analyze log files and machine data. In part 3 of this 5 part series, Andrea shows you how to index and search the extracted information to