Social Media Analytics
December 19, 2014
In the remarkably rich and active domains of big data and analytics, which sometimes seem to be going in many directions at once, we can expect to see more order and convergence in the coming year.
December 18, 2014
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags.
December 16, 2014
“As you dig deeper into unstructured data where feelings, emotions and other often messy information reside, you have to embrace qualitative metrics which don’t fit neatly into traditional quantitative analysis,” says David M. Lawson, co-founder & CEO of NewSci, LLC and this week’s Big Data & Analytics Hero.
December 9, 2014
Jake Porway, founder and executive director of DataKind and this week’s Big Data & Analytics Hero, shares that they’ve found that "cross-sector collaborations between data scientists, managers, designers, foundations, nonprofits and more are critical for really making lasting change.” When we all come together and lock elbows we can use data to really make a difference.
December 5, 2014
The power of social media analytics is in the opportunities it provides and the insights you gain, not the raw data.
December 2, 2014
In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. In part one we introduced four transformative shifts affecting the fast-paced digital marketplace; now in part two we will take a closer look at the first two shifts.
November 25, 2014
“Roof stability and effective support is quite a challenge,” declares Ben Snyman, VP of Underground Mining and Smart Services at Joy Global and this week’s Big Data Hero. “If the roof has a problem, production halts. We cannot afford to wait around for a report telling us there is a problem.
November 18, 2014
“Just the facts ma’am” worked well for Joe Friday in the 1950s, however, in our big data world (where factoids pop up at incredible speeds, often with little warning) we need big data technology to help us bring the right context and act in the business moment. You can make big data make sense and discern which facts are relevant to you with IBM Context-Aware Stream Computing.
November 17, 2014
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors.
November 13, 2014
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.