Author Archive
By: Mélanie Roosen, L'ADN
Originally published in l’ADN (in French) Hilarious consultant, former professor, and rapper in his off hours, Eric Siegel shows us that data can be fun, and used wisely, quite effective. With your videos, you managed to provide a very accessible view of data. This is quite interesting, considering data is usually considered a “cold”
Everyone is wanting to learn more about how Machine Learning can be used in their business. What’s interesting though is that many companies may already be using Machine Learning to some extent without really realising it. The...
This Predictive Analytics story started with a question as most Predictive sojourns do. During a process improvement project meeting for a national resort company a question was posed; how much could the company save with an improved...
The Traditional State The world of retail has undergone a revolution on the use of data for CRM analytics. Historically, data was simply unavailable for CRM analysis unless the retailer had a loyalty card program which essentially...
By: Kalyan Veeramachaneni, Principal Research Scientist, Laboratory for Information and Decision systems (LIDS), MIT
Originally published at hbr.org
Businesses today are constantly generating enormous amounts of data, but that doesn’t always translate to actionable information. Over the past several years, my research group at MIT and I have sought answers to a fundamental question: What would...
There’s a lot of talk right now about how big data is going to change insurance. Artificial intelligence and prescriptive analytics are definitely coming, and they will definitely change the insurance industry. To get a better idea...
There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data). However, there is another key skill that is often overlooked: the ability to...
In some of the more recent literature, discussion has ensued about the use of pure random or noise variables that end up as key variables in predictive models. In our big data environment with millions of records...
By: Mohana Ravindranath, www.nextgov.com
Originally published at Nextgov
At the intelligence community’s research and development agency, the wisdom of the crowd is often more important than that of experts. The Intelligence Advanced Research Projects Activity is running several simultaneous research expeditions into how crowdsourced...
In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as...
