With eight million people across five boroughs, New York City creates a lot of data to explore! Learn how people are using public data to examine police statistics, land use, and even the trees on the streets.
- By Lindsay Stares
- June 29, 2016
Today learn how American Express came to use big data in a big way, how AI applications can help with cybersecurity, and how to build new data sets for machine learning or other advanced analytics.
- By Quint Turner
- June 29, 2016
LawGeex combines text analytics, machine-learning algorithms, and crowdsourcing to review employment contracts free of charge.
- By Linda L. Briggs
- June 29, 2016
The field of analytics has failed to grasp the reality that data is not reality.
- By Barry Devlin
- June 28, 2016
Read advice from a maker of smart devices on securing IoT projects, perspectives from entrepreneurs on how IoT will change our relationship with technology, and tips for consumers to secure IoT devices in their homes.
- By Quint Turner
- June 28, 2016
Today’s articles explore major reasons why data science projects fail, 7 concerns with the spread of IoT, and why open source and commercial software options are very similar today.
- By Quint Turner
- June 27, 2016
In the digital era, analytics is the gateway to competitive advantage. These five steps will help you build, instill, and maintain an analytics-driven culture.
- By Shawn Rogers
- June 24, 2016
Now you understand behavioral analytics, and you can distinguish between individuals sharing a single customer account. How can you use this information for business advantage?
- By David Loshin
- June 23, 2016