Tuesday, August 22
8:30 am – 6:00 pm
Memorial Union Terrace
800 Langdon St, Madison WI, 53706
Back in 2016, the organizers of several Big Data Groups across Wisconsin all had the same thought: It’s high time for an event we can call our own to help nurture and grow the state of Big Data use and expertise right here in Wisconsin. A few vendors joined in to help with the task and the result was the inaugural BigDataWisconsin Conference.
It was such a success that we all returned to organize the second conference, building on the continued evolution of big data and data science expertise across the state. Please join us for a full day of great content, mingle with fellow attendees, participate in our job board and visit with sponsors to hear the latest and greatest in the big data/data science fields.
10:15 am Fault Tolerant Stateful Services on Kubernetes, Great Hall, Tim St. Clair, Staff Software Engineer at Heptio
11:00 am An Epic Journey – Embedding Machine Learning in Healthcare, Great Hall, Seth Hain, Cognitive Computing and Machine Learning Product Lead at Epic Healthcare
11:45 am LUNCH
12:45 pm Big Data on a Budget, Great Hall, Samuel Hamilton, Manager of Big Data Customer Insights at Kohl's
1:30 pm Lessons Learned at an IoT Startup, Great Hall, David Webber, CTO at Scanalytics
2:15 pm BigDataWisconsin Conference Afternoon Mixer, Great Hall
3:00 pm Benefits of Regression Analysis, Pitfalls to Avoid, and Paths Around, Great Hall, Nick Mastronardi, Founder and CEO at POLCO
3:45 pm A scalable system for processing historical Landsat satellite imagery records, Great Hall, Mike Hiley, Software Developer at Earthling Interactive
4:30 pm Exploring the Potential of Image-based Deep Learning in Insurance, Great Hall, Luisa F. Polanía, Machine Learning Scientist at American Family
5:15 pm Behavior-Driven Development (BDD) Testing with Apache Spark, Great Hall, Aaron Colcord, Director of Data Analytics, and Zachary Nanfelt, Big Data Software Engineer at FIS
6:00 pm End
Access to this event is included with the Forward Pass.