What we'll do
The Art of Storytelling for AI and Machine Learning
In today’s era of artificial intelligence (AI) and machine-assisted analytics, business analysts are crucial for bridging the growing data literacy gap. Successful analytical communicators don’t wait until the end of their analysis to communicate insights. Accurately defining projects, understanding what to data to use, preventing bias, and interpreting and effectively communicating findings are all important skills for helping stakeholders understand results and get the most actionable value from automated machine learning projects.
Jen Underwood is a Senior Director at DataRobot and founder of Impact Analytix providing advisory, strategy, educational content development, and marketing services to technology companies. Jen has been honoured with many accolades including IBM Analytics Insider, Tableau Zen Master, and Top 10 Influential Women in Big Data And Analytics. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data to solve complex problems with machine learning. She has a unique blend of product management and “hands-on” experience in data warehousing, reporting, visualization, and advanced analytics.
Over the past 20 years, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has experience launching new products and turning around failed projects. She has been featured by KD Nuggets, Information Management and Forbes for her work. She also has written for InformationWeek, O’Reilly Media, and numerous other tech industry publications.
Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego.
AI for Earth: Using Machine Learning to Monitor, Model, and Manage Earth’s Resources (this is a good overview talk on the ways that multiple teams both inside and outside of Microsoft are using machine learning to help with big challenges in agriculture, water, climate change, and biodiversity)
Jennifer Marsman is the principal software engineer for 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. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. Previously, Jennifer was a software developer in Microsoft’s Natural Interactive Services Division, where she authored two patents related to search and data mining algorithms. She has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Since 2016, Jennifer has been recognized as one of the top 100 most influential individuals in artificial intelligence and machine learning by Onalytica, reaching the #2 slot in 2018, and in 2009 was chosen as the “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 and Inclusion Award, Gold Club, and Platinum Club. Jennifer is a frequent speaker at software development conferences around the world. She holds a bachelor’s degree in computer engineering and a master’s degree in computer science and engineering from the University of Michigan in Ann Arbor, where she specialized in artificial intelligence and computational theory. To learn more, check out her blog.
Sponsored by DataRobot, Qantas and Microsoft