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Analytics | Data Visualization
Georgia Mariani 0
Data visualization helps University of Louisville achieve its 2020 strategic plan

When senior leaders at the University of Louisville (UofL) approached Vice Provost Bob Goldstein in early April 2016 with a request for a fully functioning data visualization platform by start of the 2016 fall semester—just four months away—he did not panic. Instead, Goldstein, along with Becky Patterson, Executive Director of

Analytics | Fraud & Security Intelligence
Colin Bristow 0
Anti-money laundering requirements: Are the stakes increasing?

Part 504 of the US Department of Financial Services Superintendent’s Regulations seems to significantly up the requirements for firms to conduct ongoing review and continuously improve their approach to anti-money laundering (AML) monitoring. But is it really very different from the intergovernmental Financial Action Task Force's broader suggestions to introduce

Data Visualization
Michael Thomas 0
Immersive analytics: yes or no?

I’m drawn to immersive analytics (IA) because it covers areas I’ve been looking at since 2012, and have been publishing on since early 2014, like virtual reality and data worlds. I’m retroactively applying the cool new term IA (not to be confused with AI for artificial intelligence) to all of my activities

Advanced Analytics | Data Management | Internet of Things
Charlie Chase 7
Omnichannel is changing the way we view demand planning

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience.  Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time.     Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are

Advanced Analytics | Artificial Intelligence | Machine Learning
Andrew Pease 5
Image recognition: Cutting edge data science ready for business

Image recognition is a hot and hyped topic in machine learning, artificial intelligence and other technology circles. Computer vision technology is essential for realizing advancements like driverless cars, face recognition, medical outcomes predictions, and a host of other breakthrough innovations. Amidst the hype, organizations large and small are trying to understand the

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