How Machine Learning and Advanced Analysis Through Amazon Support the Research Lifecycle

Speaker: Tara Madhyastha, Amazon Principal TBDM Research Scientist

Join us as we discuss how Amazon Web Services (AWS) can be used throughout the research lifecycle—supporting faster time to science, advanced data analysis and machine learning, collaboration, and reproducibility. Dr. Madhyastha will provide some examples of how AWS has been used in research so far and describe what is possible at scale. 

Women in Technology (WIT)

2:00 p.m. Stibbs Room

Speaker: Kellyn Pot'Vin-Gorman, Microsoft Azure Data Platform and Analytics Architect

Join Microsoft’s Power BI platform architect and author of Crushing the IT Gender Bias for a discussion of her experience in Information Technology and a question and answer session on the role of women in technology.  

Art of the Possible

1:15 p.m. Stibbs Room

Speakers: Representatives from Hexaware

Our experience of the world is shifting. Each day information becomes more visual, mobile, and vocal. What does this mean for the future of the university experience?  Our partners at Hexaware will discuss industry trends related to Augmented Reality, Virtual Reality, Chat and Smart Assistants, Virtual Classrooms, and more.   

Building a World-Class Higher Education Institution

12:15 p.m. Stibbs Room

Speakers:

Patrick Norton, Senior Vice President and Chief Operating Officer and Noel Wong, Vice President for Information Technology and Chief Information Officer

Please join Noel Wong and Patrick Norton for a special session to discuss the future of technology in higher education, including strategies for leadership, innovation, enterprise and research data management, and the digitized evolution of Tulane’s business processes. A question and answer session will follow.  

Thinking Big: How Artificial Intelligence, the Cloud, and Machine Learning are Changing Research and the World

Our keynote panel features representative data evangelists from some of the major players in this space Tara Madhyastha who focuses on neuroimaging of the brain (Amazon), Lukman Ramsey who focuses on Machine Learning (Google), Kellyn Pot’Vin-Gorman author of Crushing the IT Gender Bias and Power BI platform architect (Microsoft) as well as Tulane Law School’s McGlinchey Stafford Professor of Law Kristin Johnson (who focuses on financial risk management as it relates to emerging technologies like artificial intelligence and machine learning).  We’ll have a spirit conversation about what thes

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