Join MSiA for a day-long conference that will feature key industry speakers, panels, and networking opportunities.

For Employers
Analytics Exchange

ARTIFICIAL INTELLIGENCE: iMPACTS ON BUSINESS APPLICATIONS TODAY & IN THE FUTURE

Artificial intelligence is predicted to displace millions of jobs and even, by some estimations, could lead to human extinction. Rather than losing sleep about robots running the government or executive boards, attend Northwestern University's Analytics Exchange to learn about the current capabilities of AI and how AI will add value in the coming years. The Analytics Exchange is an opportunity to hear insight from industry leaders and engage with students, faculty, and peers on this exciting topic. Speakers from large corporations, start-ups, and investment firms will share their AI stories. Attendees will also benefit from a tutorial exploring the applications of deep learning.

This year's day-long conference will be the fifth annual Analytics Exchange conference hosted by Northwestern's Master of Science in Analytics program. The Analytics Exchange was created as an opportunity for industry leaders and practitioners from across the analytics spectrum to gather and discuss the ever-evolving landscape of analytics with like-minded individuals. Keynote speakers for this year's conference come from companies including KPMG, Metonymy Labs, Ernst & Young, Narrative Science, and more. Registration for this conference is free and by invitation only.


WHEN

Friday, May 12, 2017 from 8:30 AM - 5:00 PM

WHERE

Northwestern University's Chicago Campus
Lurie Research Center | Baldwin Auditorium
303 East Superior Street
Chicago, Illinois 60611

REGISTER


AGENDA

MORNING

8:30AM - 9:30AM

Registration & Continental Breakfast

9:00AM - 9:30AM

Welcome & Introductions

9:30AM - 10:15AM     

Deep Learning Tutorial

  • Dr. Ellick Chan, Senior Associate at Exponent

10:15AM - 10:30AM      

Break

10:30AM - 11:30AM

Presentations

  • Kristian Hammond, Co-founder and Chief Scientist at Narrative Science

  • Kripa Rajshekhar, Founder of Metonymy Labs

11:30AM - 12:30PM

Panel Discussion

The technologies driving AI and its impact on jobs

12:30PM - 1:30PM

Luncheon

Networking luncheon provided

AFTERNOON

1:30 PM - 2:00 PM

Student Presentations

Two student practicum teams will present on their research and collaboration with industry during their long-term practicum projects.

2:00PM - 3:00PM

Presentations

  • Andy Angelos, CEO of Hire Abby 

  • David Vandegrift, Associate at Pritzer Group Venture Capital

3:00PM - 3:15PM

Break

3:15PM - 4:15PM

Presentations

  • Loren Williams, Global Chief Data Scientist and AI Leader at Ernst & Young

  • Plamen Petrov, Director, Cognitive Technology at KPMG

4:15PM - 4:30PM

Concluding Remarks


SPEAKERS

Andy Angelos
Chief Executive Officer of Hire Abby
Are we there yet? Chatbot adoption and expectations

Andy is a serial entrepreneur, marketing veteran, professional musician, and many other official titles depending on the situation! He's accelerated two early stage companies to successful exits and has advised hundreds of companies on marketing strategy and technology.

He is currently the CEO of Hire Abby, an AI powered chat assistant for recruiting teams. Hire Abby uses the power of automated conversation to reduce time spent on hiring by up to 75%. Learn more about Andy at his company site or by listening to his music.   

Ellick Chan

Senior Associate at Exponent
Adjunct Lecturer at Northwestern University
Deep Learning Tutorial

Dr. Chan is a computer scientist and a data scientist who specializes in the use of deep learning and machine learning techniques to solve difficult problems across areas ranging from computer vision to computer security. He has applied his expertise to research new methodologies in detection to include anomaly and threat detection in Ground Penetrating Radar (GPR) data. Dr. Chan continually evaluates the latest techniques in data analytics and teaches a class on deep learning at Northwestern University.

Kristian Hammond
Co-founder and Chief Scientist at Narrative Science
Professor of Computer Science at Northwestern University
Listening to the New Machine: The technologies of communication with Intelligent Systems

Dr. Hammond is co-founder and Chief Scientist of Narrative Science, a company that has developed an Artificial Intelligence system called Quill that automatically generates natural language narratives based on data and advanced analytics.  In his spare time, he is also is Professor of Computer Science at Northwestern University and academic director of the University’s Computer Science Plus X initiative. His research is focused on artificial intelligence, machine-generated content and the transformational impact of Computer Science. He was recently part of an United Nations policy committee under the Institute for Disarmament Research (UNIDIR) focused on the regulation of autonomous lethal weapons. Last year he joined the AI XPrize Committee as an Ambassador at Large. He received his Ph.D. from Yale.

Plamen Petrov
Director, Cognitive Technology at KPMG
"AI as a Service" with IBM Watson

Dr. Plamen Petrov is Director of Cognitive Technology at KPMG. Previously, he was Associate Partner with the Watson AI and Data Platform practice at IBM Global Business Services (GBS). Dr. Petrov is an authority on implementing transformational business solutions and enabling disruptive innovation through Artificial Intelligence and Advanced Analytics. His clients include many Fortune 100 companies as well as startups. In his spare time, Dr. Petrov is a professor at the University of Illinois at Chicago where he teaches Natural Language Processing (NLP) and Cognitive Analytics. Previously Plamen Petrov was with Deloitte Consulting LLP where he served as founder and group CTO for the Cognitive Analytics practice. Earlier Plamen Petrov served for over 11 years as executive director and Chief Enterprise Architect for Blue Cross Blue Shield Association in Chicago. Dr. Petrov has extensive experience as practitioner, researcher and executive working in various industries and companies such as the Institute for Technical Cybernetics and Robotics, Convergys, Motorola, Sun Microsystems, United Airlines, and Blue Cross Blue Shield Association. Dr. Petrov holds a Ph.D. in Computer Science on applying Probabilistic Graphical Models to architectural decision making.

 

Kripa Rajshekhar
Founder of Metonymy Labs
AI Augmented Diligence

Kripa Rajshekhar is the founder of Metonymy Labs. He has experience building products and teams at 3 early stage technology start-up companies and was previously a Partner at Ernst & Young in their M&A practice. With the right interdisciplinary expertise and our proprietary natural language processing (NLP) enabled tool-kit, Metolabs is a globally recognized first-mover in the field of AI augmented diligence.

David Vandegrift
Associate at Pritzker Group Venture Capital
AI in the Enterprise: Looking Forward

David joined Pritzker Group Venture Capital in 2015, where he works on investments in enterprise software and emerging technologies. He has a particular focus on artificial intelligence technologies and runs the Chicago AI Meetup. Prior to PGVC, he founded and ran MVP Innovation, an enterprise software company in the visual merchandising function of the retail industry. Before MVP Innovation, David worked as a management consultant at McKinsey & Co., where he worked to improve strategy and operations for clients across a variety of industries.

Loren Williams
Global Chief Data Scientist and AI Leader at Ernst & Young
Disrupt or Be Disrupted: AI Goes Mainstream in Professional Services

Loren Williams is the EY’s Global Chief Data Scientist and AI Leader. Loren has over 25 years of experience in designing, developing and deploying decision support solutions leveraging granular data, sophisticated analytic methods, and high-performance computing. In his current role, he is responsible for the R&D program and investments which EY have undertaken to build deep proficiency in AI applications and technologies. Prior to this, Loren has served as a leader in EY’s Advisory Analytics practice, has built data science teams and technology solutions across a range of problem domains, including retail pricing and inventory optimization, B2B pricing, and revenue management. He has a PhD in economics, with specialties in applied microeconomics and public finance.