MARCH 25, 2020, THE RITZ-CARLTON Charlotte
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Time: 7:15-8:30 am
Registration / Coffee & Breakfast
Urban Garden: Registration
Urban Garden: Coffee and Breakfast
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Time: 8:30-8:45 am / Location: Ballroom
Introduction and Welcome
Dr. Doug Hague- Executive Director for School of Data Science, UNC Charlotte
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Time: 8:45-9:45 am / Location: Ballroom
Invited Keynote: General Robert P. Ashley
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Time: 9:45-10:00 am / Location: Prefunction Room
Coffee Break
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Breakout Sessions I: 6 sessions
Time: 10:00-10:45 am / Location: Salon I, Salon II, salon III, Great room I, Great Room II, The Den
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Session I 10:00-10:45 am / Track: Explainable AI / Location: Salon I
The Explain-Ability of Machine Learning in Natural Language Processing (NLP)
Speakers: Xin Yan, Rahul Singh, and Wafa Louhichi; Quantitative Analytics Specialists, Corporate Model Risk, Wells Fargo NA.
Session I 10:00-10:45 am / Track: Ethics & AI / Location: Salon II
Analytics for Good: Using Data Responsibly for Profit and Social Good
Speaker: Chris Johannessen, Director, Digital + Data Science Services, SIA Partners
Session I 10:00-10:45 am / Track: The Future of AI / Location: Salon III
The 4th Industrial Revolution
Speaker: Bhavana Bartholf, Executive Transformation Officer, Microsoft
Session I 10:00-10:45 am / Track: AI Adoption / Location: Great Room I
Session I 10:00-10:45 am / Track: NLP / Location: Great Room II
Optimizing Nature Appreciation Using the Traveling Salesman
Speaker: Stephen Voss, Software Development Consultant, Slalom Consulting, LLC
Session I 10:00-10:20 am / Track: Case Studies / Location: The Den
How Data and Analytics Helped Charlotte Radiology Improve Access to Care for Its Patients
Speakers: Cheryl Marks, Vice President of Operations, Charlotte Radiology, and Moyosore Lawal, Sr. Analytics Associate, Syntelli Solutions
Session I 10:25-10:45 am / Track: Case Studies / Location: The Den
“Once Upon a Data Analysis…” Data Storytelling in Healthcare Analytics
Speaker: Jasmine Wazaney, Director of Data Analytics & Reporting, Healthstat, Inc.
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Time: 10:45-11:00 am / Location: Prefunction Room
Coffee Break
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Breakout Sessions II: 6 Sessions
Time: 11:00 – 11:45 AM / Location: Salon I, Salon II, salon III, Great room I, Great Room II, The Den
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Session II 11:00-11:45 am / Track: Explainable AI / Location: Salon I
AI for Power Consumption Prediction – A Case Study
speakers: Hannah Holub, Data & Analytics Consultant, Slalom Consulting, and Seba Santibáñez, Solutions Architect, Slalom Consulting
Session II 11:00-11:45 am / Track: Ethics in AI / Location: Salon II
Session II 11:00-11:45 am / Track: The Future of AI / Location: Salon III
Digitalization in AI
Speaker: Saurabh Shah, Partner, IBM
Session II 11:00-11:45 am / Track: AI Adoption / Location: Great Room I
From Laggard to Leader— Winning the AI Race
Speaker: Bharath Thota, VP of Data Science, Kearney Consulting
Session II 11:00-11:45 am / Track: NLP / Location: Great Room II
Interactive Machine Learning: Solving AI’s Labeled Data Bottleneck
Speaker: Ryan Wesslen, Senior Vice President; Data Scientist II, Bank of America
Session II 11:00-11:20 am / Track: Case Studies / Location: The Den
Transforming Healthcare Marketplace Solutions With Predictive Analytics
Speaker: Magbor Atem, Project Manager, and Analytics Consultant, Atrium Health
Session II 11:25-11:45 am pm / Track: Case Studies / Location: The Den
From Data to Story
Speaker: Elizabeth Ricks, Instructor, Storytelling With Data
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Time: 12:00-1:30 pm / Location: Urban Garden
Lunch and Networking: Urban Garden
The extended lunch break provides an opportunity for attendees to network with the Exhibitors in the Urban Garden.
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Time: 1:30-2:30 pm / Location: Ballroom
Keynote speaker: Ruha Benjamin
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Time: 2:30-2:45 pm / Location: Prefunction Room
Coffee Break
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Breakout Sessions III: 6 Sessions
Time: 2:45-3:30 PM / Location: Salon I, Salon II, salon III, Great room I, Great Room II, The Den
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Session III 2:45-3:30 pm / Track: Explainable AI / Location: Salon I
Human-Centered AI Explanations
Speaker: Wenwen Dow, Assistant Research Professor, College of Computing and Informatics, UNC Charlotte
Session III 2:45-3:30 pm / Track: Ethics In AI / Location: Salon II
Health Data Privacy in the App Economy
Speaker: Kathryn Marchesini, Chief Privacy Officer, Office of the National Coordinator for Health Information Technology (ONC)
Session III 2:45-3:30 pm / Track: The Future of AI / Location: Salon III
AI Economics – the 4th Industrial Revolution
Speaker: Gary Bhattacharjee, Global Head of AI Practice, Infosys
Session III 2:45-3:30 pm / Track: AI Adoption / Location: Great Room I
AI for Everyone: How the Democratization of AI Is Making Data Analytics More Accessible Than Ever
Speaker: Derek Wang, CEO, Stratifyd
Session III 2:45-3:30 pm / Track: NLP / Location: Great Room II
Natural Language Processing (NLP): An Overview, Applications, and Demystifying Transfer
Speaker: Rahul Singh, Quantitative Analytic Specialist, Corporate Model Risk Team, Wells Fargo
Session III 2:45-3:05 pm / Track: Case Studies / Location: The Den
Automatic Learning With Limited Data: A Batch Learning Approach to Automating Time Series Forecasting
Speaker: Daniel Ramos, Data Scientist, SentryOne
Session III 3:10-3:30 pm / Track: Case Studies / Location: The Den
How AI is Changing Manufacturing
Speaker: Josiah Laivins, Machine Learning Engineer, Mariner Welch Labs
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Time: 3:30-4:00 pm / Location: Prefunction Room
Coffee Break
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Breakout Sessions IV: 6 sessions
Time: 4:00-4:45 pm / Location: Salon I, Salon II, salon III, Great room I, Great Room II, The Den
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Session IV 4:00-4:45 pm / Track: Explainable AI / Location: Salon I
Integrating Machine Learning With Traditional Regression Framework and Applications to Auto Loan Delinquency Modeling
Speakers: Judy Xi, Quantitative Analytics Manager Credit, and PPNR Modeling (CaPM) COE, Wells Fargo, and Crystal Li, Quantitative Associate, Wells Fargo
Session IV 4:00-4:45 pm / Track: Ethics in AI / Location: Salon II
Ethics and Compliance for Learning Analytics
Speaker: Andrew Peterson, VP, Educational Innovation and Global Outreach, Western Seminary
Session IV 4:00-4:45 pm / Track: The Future of AI / Location: Salon III
Data Scientists Are From Mars & Software Engineers Are From Venus: We Need ML Engineers on Earth
Speaker: Anand Rao, Partner, Global AI Lead, PwC
Session IV 4:00-4:20 pm / Track: AI Adoption / Location: Great Room I
Lead Time Prediction: Data Science Applications in the Steel Manufacturing Industry
Speakers: Kevin Pedde, Principal Consultant, Syntelli Solutions, and Dan Krug, General Manager, Information & Digital Technology, Nucor Corporation
Session IV 4:25-4:45 pm / Track: AI Adoption / Location: Great Room I
Practical AI: Using Machine Learning to Ensure Member Success for the Charlotte City Club
Speaker: John Fitts, Founder, and CEO, Fairfax Intel
Session IV 4:00-4:20 pm / Track: Case Studies / Location: Great Room II
Serverless Machine Learning for Phishing Classifier Automation
Speaker: Joel Amick, Director, Cyber Analytics & Data Science, TIAA, and Scott Rodgers, Senior Cybersecurity Data Scientist, TIAA
Session IV 4:25-4:45 pm / Track: Case Studies / Location: Great Room II
Enhancing Profitability Analysis Through Data Visualization and Data Science
Speaker: Jaime Staengel, Finance Analyst, Financial Planning & Analysis, Corning Optical Communications
Session IV 4:00-4:20 pm / Track: Case Studies / Location: The Den
How to Drive Data-Driven Change in a Legacy Organization
Speaker: Subhasree Chatterjee, Sr. Data Analyst, LexisNexis
Session IV 4:25-4:45 pm / Track: Case Studies / Location: The Den
Retail Scheduling Optimization
Speaker: Nick Rabiipour, Principal Data Scientist, Lowe’s
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Time: 5:00-7:00 pm / Location: The Urban Garden
Networking Reception
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