This article explores the challenge of managing and gaining the most value from big data. We highlight the increased opportunity associated with larger data sets, while illustrating the limitations of current methods and human intellect across the 4 Vs of big data (volume, velocity, variety, and veracity), ultimately resulting in lost value — the fifth V. We further show how organizations can use machine learning (ML)…
How real businesses are using machine learning
There is no question that machine learning is at the top of the hype curve. And, of course, the backlash is already in full force: I’ve heard that old joke..
5 machine learning mistakes and how to avoid them
Learn about common machine learning mistakes and how to successfully incorporate this new technique into your analytics strategy.
Autotuning: How machine learning helps optimize itself
Machine learning seems to be the new hot topic these days.
Why Google believes machine learning is its future
We heard so much about machine learning at Google I/O this year.
How Microsoft is transforming CRM with machine learning
Machine learning unlocks how businesses work with customers
How machine learning is changing the face of business communication
Machine learning is on the verge of seriously impacting workplace communications. enhancing the role of the employee within an organisation
Why human-in-the-loop computing is the future of machine learning
Artificial Intelligence is here and it’s changing every aspect of how business functions. But it’s not replacing people one job function at a time. It’s making people in every job function more efficient by handling the easy cases and watching and learning from the hard cases.
What the Pentagon is learning from its massive machine learning project
Project Maven has already deployed in five or six locations across Africa and the Middle East. Here's what officials are learning from those deployments so far.
Mozilla to use machine learning to find code bugs before they ship
Regrettably, humans still have to write the code in the first place.
What is normal? Organizations use machine learning to ferret out data anomalies
Machine learning has been a staple of our consumer-driven economy for some time now. When you buy something on Amazon or watch something on Netflix or even pick up groceries at your local supermarket, the data generated by that transaction is invariably collected, stored, analyzed and acted upon. Machines, no surprise, are perfectly suited to …