The Second Annual ABIC Conference

Carroll’s Analytics and Business Intelligence Consortium (ABIC) is proud to announce the second annual ABIC Conference: The Power of Prediction. This one-day event will take place on Thursday, Aug. 4, featuring two keynote speakers and breakout sessions with several other experts in topics like machine learning, people analytics, data for good and more. 

The conference will be held from 8 a.m.-5 p.m. in Hastad Hall (107 North Barstow St). All guests are invited to attend a reception afterward. Tickets are $149/person for the general public, and include autographed books by the two keynote speakers. Registration is free for Carroll students, faculty and staff with an option to purchase the books.  

Please note that this event will be held in-person on Carroll’s campus. While we are not mandating a mask policy at this time, we respect the decision of those who choose to wear masks as an extra precaution. Please read our current COVID-19 guidelines to learn more.

An audience sitting in rows at a conference


Thursday, Aug. 4, 2022

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Keynote Speakers

Headshot of Eric Siegel


Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is the founder of the “Predictive Analytics World and Deep Learning World” conference series, which have served more than 17,000 attendees since 2009, and the instructor of the acclaimed course "Machine Learning Leadership and Practice – End-to-End Mastery," a popular speaker who's been commissioned for more than 110 keynote addresses. Additionally, Siegel is executive editor of The Machine Learning Times. He authored the bestselling “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,” which has been used in courses at more than 35 universities. A signed copy is included with each paid ticket to this event. When he was a professor at Columbia University, Siegel won teaching awards and sang educational songs to his students. He also regularly publishes op-eds on analytics and social justice. In addition to the morning keynote, Siegel will lead a morning breakout session on applications of machine learning in healthcare. 

Head shot of Cathy Oneil


Cathy O’Neil is the author of The New York Times bestselling “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” which was also a semifinalist for the National Book Award. She is a columnist for Bloomberg View and founded ORCAA, an algorithmic auditing company. 

O’Neil earned a Ph.D. in math from Harvard, was a postdoctoral fellow in the MIT math department, and a professor at Barnard College where, she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quantitative analyst for the hedge fund D.E. Shaw, in the middle of the credit crisis. After that, O’Neil was a quantitative analyst for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predict customers’ purchases and clicks. 

Additionally, O’Neil wrote “Doing Data Science” in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014.

Tentative Schedule

All breakout sessions will occur twice throughout the day except for those conducted by keynote speakers.
A survey will be distributed to registered attendees prior to the event to indicate breakout sessions preference. 

Morning Keynote
Eric Siegel, Ph.D
The Power of Prediction and How to Get Machine Learning Deployed

The excitement over “data science” has grown dramatically. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day -- but only if your company *launches* a predictive model, substantially changing existing operations. In this keynote, Predictive Analytics World founder and "Predictive Analytics" author Eric Siegel reveals how predictive analytics (aka machine learning) works, the ways in which it delivers value -- if you succeed in getting it launched -- and how to do so.

Afternoon Keynote
Cathy O'Neil, Ph.D.
Bad Algorithms & The Ethical Matrix

Algorithms can embed bias, they can propagate or even exacerbate inequality, or they can just be plain inaccurate. How do we keep track of all the potential problems? How do we make sure the algorithms we build "work well"? What do we even mean by that? In this talk Cathy O'Neil will introduce the ethical matrix, a construct borrowed from moral philosophy, as a way of organizing our thoughts around important and urgent questions like these. 

Breakout Sessions
Head shot of David Berka.
Closing Session

Dave Berka, Project Manager: Techquity & Resource Equity, United Way of Greater Milwaukee and Waukesha County
Data for Good: Digital Access, Equity, and Social Responsibility

Dave Berka has spent his career in the social service sector. His experience lies primarily in building effective partnerships with donors and community organizations, conducting research and policy analysis, and designing and implementing strategic, efficient programs and initiatives that address the community’s most pressing needs.

Currently, Dave leads United Way’s Techquity initiative, which began in 2020 in response to emergency needs caused by the COVID-19 pandemic. Techquity takes a collective impact approach to addressing the digital divide in Milwaukee, Waukesha, Ozaukee, and Washington counties.

Dave is a graduate of the University of Wisconsin-Milwaukee and Duke University.

Event Details

Registration is required to attend. The event will take place on the Carroll University campus:

Hastad Hall
107 North Barstow St. 
Waukesha, WI 53186 

8 a.m.-5 p.m


All paid tickets include pre-signed copies of "Predictive Analytics: THe Power to Predict Who Will Click, Buy, Lie, or Die" and "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy." The first 25 paid registrants will have the opportunity to have books personalized. Those with complimentary tickets can purchase books in advance. 

For group sales please contact

Sponsored By

If you are interested in becoming a sponsor of the Second Annual ABIC Conference please contact

Generac Power Systems, commonly referred to as Generac, is a Fortune 1000 American manufacturer of backup power generation products for residential, light commercial and industrial markets.

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Additional Info


For other inquiries related to the conference please contact:
Krista Curler, Program Coordinator
School of Business and Technology 

The Power of Prediction

Thursday, August 4, 2022

Panoramic View of campus