Predictive Analytics for Healthcare:
What’s Now, What’s New and What’s Next
Ankur Teredesai, Ph.D.
Professor of Computer Science and Systems
University of Washington Tacoma, Institute of Technology
Dr. Teredesai describes some of the groundbreaking work that he and his team at the University of Washington are doing in predictive analytics for healthcare — not just within the data science lab, but also with patients, providers and policy makers.
The transcript of the conversation between Michael Zeller and Dr. Ankur Teredesai can be downloaded here.
Next-generation Data Management Platforms for Predictive Analytics
Raghu Ramakrishnan, Ph.D.
Technical Fellow; Head, Big Data Platforms and Cloud Information Services Lab
Dr. Ramakrishnan shares his perspectives on the future of machine learning and artificial intelligence, and describes how cloud architectures can provide advantages when working with big data and predictive analytics. He also highlights some of the work that he and his team at Microsoft are doing in predictive analytics using Microsoft’s Azure cloud.
The transcript of the conversation between Michael Zeller and Dr. Raghu Ramakrishnan can be downloaded here.
The Art of Data Science: Crafting Success and Driving Real Business Value
Ying Li, Ph.D.
Founder and Chief Data Scientist
EV Analysis Corporation
Dr. Li discusses the dynamics of the data scientist skill set and what it takes to be successful as a data scientist today. She also shares her philosophy about the “craftsmanship” of the data science profession and outlines a series of principles to guide practitioners to success, based on her extensive experience in both the lab and in business. Lastly, she opines on the future of the data science profession, and the degree to which automation may complement or supplant human activity.
The transcript of the conversation between Michael Zeller and Dr. Ying Li can be downloaded here.
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