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Summer of AI, Part 3 | Carolina Data Science Now
July 27, 2023 @ 12:00 pm - 1:00 pm EDT
Please join us for three lightning talks by professors and researchers in UNC-Chapel Hill's academic community, centered around how data science is used in a broad range of disciplines. These talks will be followed by a guided panel and an opportunity for questions and answers with the speakers. We hope you will enjoy discovering how data science underpins and influences research and daily life.Register Here
Meet the Moderator
Professor of the Practice of Marketing, UNC Kenan-Flagler Business School
Mark McNeilly teaches in the areas of marketing and organizational behavior in the full-time MBA and online MBA@UNC programs. He serves as a faculty advisor for the STAR program and executive coach in the Leadership program. Currently co-chairing the University’ Generative AI committee along with SDSS dean Stan Ahalt, Professor McNeilly will moderate Q&A after three lightning talks.
Our speakers for this month are as follows:
Assistant Professor of Accounting, UNC Kenan-Flagler Business School
Daniela De la Parra researches the determinants of corporate information, with an emphasis on qualitative properties of disclosures, and their implications for capital markets. She is particularly interested in applications of machine learning to accounting research.
Professor of Operations and Sarah Graham Kenan Scholar, UNC Kenan-Flagler Business School
Saravanan Kesavan studies retail operations with an emphasis on responsible business practices to labor management and automation. His current areas of research include improving labor productivity and worker well-being, using big data to improve forecasting, customer recycling and digitization.
Assistant Professor of Marketing, UNC Kenan-Flagler Business School
Daniel Ringel is a marketer and data scientist interested in creating insights into complex relationship systems such as markets, assortments and networks. His work is at the frontier of cross-disciplinary methodology and contemporary marketing problems. His research interests include competitive analysis, data visualization, machine learning, natural language processing and artificial intelligence in marketing.
Click below to register for the session now.Register Here
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