International Institute for Analytics

Inquiry:

We are working on a platform to empower data scientists across the enterprise to build and manage their own machine-learning (ML) models. Do you have any ideas for how to approach this project?

Inquiry:

We have a robust testing program for our website experience where we test various permutations in two-week sprints, each measured in isolation. We’d like to start analyzing how our predictions based on the results of these tests perform against reality. Any thoughts?

Fraud is widespread and continues to grow, especially online. It’s a major problem in a variety of industries and government agencies far beyond the familiar areas of financial and retail fraud, where credit card information is compromised and fraudsters use it for online purchases. The problem worsens as criminals get more organized and technologically sophisticated and operate at greater scale. As fraudsters innovate and scale up, fraud prevention and investigation become more challenging, and advanced analytics become a bigger part of the solution.

Any new tool or technology has the potential to be put to use for good purposes or, unfortunately, for harmful purposes. Artificial intelligence is no different. As we see the rapid progress occurring in the AI space, lots of attention has been paid to all of the good uses of AI. However, it is inevitable that those with nefarious intent are also studying AI successes with an eye toward how to twist them into tools to pursue their less than honorable goals.

Inquiry:

We are becoming more data-centric at an organizational level, but do not have a governance process in place. In our highly regulated industry, how might we approach this? What should we be thinking about?

Inquiry:

What hard packages are being taught in data science programs (SAS, Stata, SPSS, R, Python, etc.)? We’ve seen a shift away from proprietary platforms. How are organizations reacting to attract and retain new talent? What does the future look like in this space?

An initiative in predictive analytics at Sanford Health yielded unexpected results and valuable lessons learned. A perennial challenge for health care providers is recognizing and anticipating which patients are incurring the greatest effort and expense. Some studies have suggested that as much as 80 percent of total health care spent is on only 20 percent of patients. With the migration to population health, where providers aim to improve quality while decreasing costs, high-utilization patients have become a focus for health systems.

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. As at our spring Symposium in Silicon Valley earlier in the year, the fall Symposium agenda featured a marquee line up of analytics and data leaders from major firms like Morgan Stanley, UPS and Southwest Airlines, and concluded with a fireside chat with Tom Davenport and Jeanne Harris celebrating the launch of the 10th anniversary edition of Competing on Analytics.

Inquiry:

How sophisticated should our techniques and capabilities be at the outset? Where do others like to start? From the business view (demand): How complex are the strategic problems we seek to support and enable with data science insights? From the analytic view (capability): How sophisticated should our core techniques be?