2019 Conference Videos

"A New Era of Data Responsibility, Transparency, and Stewardship" Prepare.ai CoFounder David Karandish kicks off the conference and introduces Keynote Speaker Tony Sardella. Tony has applied an arsenal of data science and behavioral research techniques to tackle complex, nonmarket issues at clients like IBM, Airbnb, Ford, and Nestle.

This is an exciting time in health care because of Machine Learning and Artificial Intelligence (AI). Cloud services and modern processing power have helped technology catch up to the research and theory behind AI. Health care organizations can now turn to the most advanced Machine Learning tools and techniques to streamline patient care workflow, identify new treatment plans, and automate diagnoses.

Mark Bennetts - Product Management, Mercy Virtual

Brandon Fischer - Practice Lead, 1904 Labs

Matt Pitlyk - Technical Lead, 1904 Labs

Women hold only about a quarter of data jobs in the United States. Why is this number so low? What challenges and obstacles stand in the way of women in high tech, and what is being done about it? We will hear from talented women that live and breathe these questions in the primary and higher educational spaces, in a high tech startup, and in a large enterprise.

Moderator - Tara Nesbitt - Experience Design Lead at Slalom Consulting

Katrina Brundage - Data Scientist & Legal Analyst, Juristat

Sherea Dunlap - Executive Director, Create a Loop

Eshe Hawash - Targeted Training Manager, Launch Code

Vicki Sauter - Professor of Information Systems, UMSL

Vidya Setlur - Manager of Natural Language Team, Tableau Software

AI and machine learning are technical fields, which can mean they are siloed to data scientists and engineers. This limits the awesome potential of AI. If we instead view AI as a new tool for everyone to use, it will lead to an explosion of creativity in AI’s uses. In this session, we will explore how companies can expand their thinking around AI’s uses and how they can activate their whole staff to be AI advocates.

Jesse Wolfersberger is the Chief Data Officer for Maritz Motivation Solutions. He leads Maritz's Decision Sciences team, a group of data scientists who specialize in merging the fields of behavioral science and artificial intelligence. Jesse's career started as a sports writer, before jumping into marketing as Director of Consumer Insights for GroupM's digital media think tank. In his free time, Jesse uses his data skills in the baseball world, where he consults for a Major League team.

Over the past 2 years the evolution of Machine Learning has made monumental advances and the changes are only accelerating. Some of these advances are due to the ability to automate the selection of the correct algorithms, which enables faster time-to-value for solutions. We will explore these ideas in the context of the Big Squid SaaS platform, which automates much of the workflow involved in training machine learning models and putting them in production.

Jorge Zuloaga got his masters in mathematics from the University of Waterloo in Canada and his PhD in computational physics from Rice University in Houston, TX. His work in computational mathematics and physics has spanned several fields, from particle physics to healthcare, and beyond.

The currency of tomorrow isn’t what you think: It’s not cold hard cash, precious metals, land or even cryptocurrency – it’s data. In the very near future, every company in the world will either buy or sell data as this corporate asset continues to gain value. But, it’s not enough to have access to vast amounts of data, you need to understand it and use it. Transforming data to business value is harder than many companies thought it would be, requiring deeper resources, more expertise and harder work than expected. This session will detail how Intel builds AI systems that can access and analyze large datasets so businesses can take advantage of the explosion of data as the fuel powering digital transformation. Melvin Greer, Intel Chief Data Scientist will describe how artificial intelligence and machine learning help transform data effectively and deliver experiences people have never seen before or imagined.

Melvin Greer is Chief Data Scientist, Americas, Intel Corporation. He is responsible for building Intel’s data science platform through graph analytics, machine learning and cognitive computing to accelerate transformation of data into a strategic asset for Public Sector and commercial enterprises. Mr. Greer has been named a 2018 AI Executive of the Year by Washington Executive. He has been awarded the 2017 BDPA Lifetime Achievement Award and the 2012 BEYA Technologist of the Year Award. Melvin is also a Professor in the Data Science program at Southern Methodist University (SMU) and Adjunct Faculty, Advanced Academic Program at Johns Hopkins University. He functions as a principal investigator in advanced research studies, including Nanotechnology, Additive Manufacturing and Gamification.

 

This panel of leaders in the technology investment space delves into the impact that AI is having on new ventures. Investors are expecting large returns from AI enabled business models, but how and why? And what are the pitfalls and challenges that one should keep in mind?

Moderator - Cindy Teasdale - Marketing Director, Prepare.ai

Emily Lohse-Busch - Executive Director, Arch Grants

Brian Hopcraft - Managing Director, Lewis & Clark Ventures

John True - General Partner, Cultivation Capital

The AI for Earth program applies machine learning and data science to hard challenges in agriculture, water, climate, and biodiversity. In this talk, we will discuss how the AI for Earth team, Microsoft Research, and AI for Earth grant recipients are using machine learning to enable precision agriculture, to predict outbreaks of disease, to detect poachers in real time, and to classify animals for conservation. Finally, we will briefly provide details on the AI for Earth grant program to obtain resources for everyone to work on these challenges.

Jennifer Marsman is the Principal Engineer of Microsoft’s “AI for Earth” group, where she uses data science, machine learning, and artificial intelligence to aid with clean water, agriculture, biodiversity, and climate change. Jennifer is a frequent speaker at software development conferences around the world. Since 2016, Jennifer was recognized as one of the “top 100 most influential individuals in artificial intelligence and machine learning” by Onalytica, reaching the #2 slot in 2018. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. In 2009, Jennifer was chosen as "Techie whose innovation will have the biggest impact" by X-OLOGY for her work with GiveCamps, a weekend-long event where developers code for charity. She has also received many honors from Microsoft, including the “Best in Role” award for Technical Evangelism, Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity & Inclusion Award, Gold Club, and Platinum Club. Previously, Jennifer was a software developer in Microsoft’s Natural Interactive Services division. In this role, she earned multiple patents for her work in search and data mining algorithms. Jennifer has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Jennifer holds a Bachelor’s Degree in Computer Engineering and Master’s Degree in Computer Science and Engineering from the University of Michigan in Ann Arbor. Her graduate work specialized in artificial intelligence and computational theory.