Analytics Exchange: AI Applications in Cybersecurity and Quantum Computing

By The Master of Science in Analytics Program at Northwestern University

Date and time

Friday, May 11, 2018 · 8:30am - 5:30pm CDT

Location

Northwestern University: Chicago Campus

Wieboldt Hall 340 E Superior Street Chicago, IL 60611

Description

This year’s Analytics Exchange covers two fast-developing areas of artificial intelligence application. During morning sessions, we’ll take a deep look at how advances in artificial intelligence have impacted cybersecurity. Speakers will discuss how machine learning is improving the detection and risk assessment of security breaches.

In the afternoon, we will learn more about a developing field with big implications for business: AI and quantum computing. Join us to hear from industry leaders, experts, and academic faculty about how machine learning is impacting their work in these two areas.

Confirmed Speakers

Cybersecurity
Michael Roytman, Kenna Security
Professor Philip Chan, Florida Institute of Technology
Stefan Ulbrich, Acceptto Corporation

Quantum Computing
Johannes Otterbach, Rigetti Computing
Michael Brett, QxBranch
Professor Elizabeth Behrman, Wichita State University

Northwestern University's Master of Science in Analytics program hosts the Analytics Exchange each year to gather leaders and practitioners from across the industry for discussion exploring the underlying data engineering, data science, artificial intelligence, and the business of analytics. Held at Northwestern’s Downtown Chicago campus, registration for this free conference is by invitation only.

Breakfast will be served at 8:30am and the program will begin 9:00am.

Full agenda


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The Master of Science in Analytics is a full-time, 15-month professional master’s degree that immerses students in a comprehensive and applied curriculum exploring the underlying data science, information technology, and business of analytics. Supplemented by an internship placement and industry supplied projects, graduates are exceptionally well-equipped to harness and communicate the full value of data to the organizations they serve.

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