Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.

Keynote: Nhung Ho

Nhung Ho


How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis

"In the midst of COVID-19, a global economic crisis is threatening the livelihoods of small business owners everywhere. In ordinary times, 50 percent of small businesses go out of business in the first 5 years. In today’s extraordinary times, nearly 7.5 million (~25 percent) of small businesses in the U.S. alone have been at risk of closing permanently in a matter of months (Source: Main Street America’s Small Business Survey 2020). Among the all-time top contributing factors to survival? Cash flow management and access to capital. Whether in the midst of a pandemic or a devastating life event, business owners are more likely to survive if they can 1) efficiently manage the inflow and outflow of cash, 2) understand their cash position to qualify for government aid and/or loans with flexible borrowing terms, and 3) use financial insights to map out revenue and spending scenarios. In this talk, Nhung Ho, Director of Data Science for Intuit’s Small Business and Self-Employed Group, will describe how Intuit AI has applied artificial intelligence and large-scale machine learning to help small businesses around the world to overcome the challenges of cash flow forecasting and capital access to build financial resilience in turbulent times."

Nhung is Director of Data Science for the QuickBooks Ecosystem and Customer Success data science teams at Intuit. She leads applied machine learning teams that build new-to-the-world products and services backed by artificial intelligence and machine learning to serve the company’s small business and self-employed customers. Nhung has a Ph.D. in Astrophysics from Yale University and a B.A. in Astrophysics from University of California, Berkeley."