The Retail Analytics Council and Platt Retail Institute present the second annual Retail Robotics and AI Conference, which will take place on April 11-12, 2019, at the Hilton Orrington Hotel in Evanston, IL (next to the Northwestern University campus).

The Conference will focus on implementing and executing retail AI strategies, as well as exploring emerging trends in retail robotics. Presentations by leading academics and retailers include:

  • U.S.-China Retailers, Consumer Trends, and AI
  • Observations on the State of Retail Technology and AI
  • How to Implement a Retail Analytics Function
  • Advanced Analytics in Customer-Centric Strategies
  • Bayesian Machine Learning Applied in Marketing
  • Data Privacy
  • Robots in Retail Competition Presentations
  • Robust Perception for Robotics Systems
  • Intelligent Automation
  • Current Retail Robot Applications and Benefits
  • Future Retail Robot Applications

Attendance is open to retailers only and is limited to 150 participants. This includes Retail Analytics Council Advisory Board members, C-level executives, academics, and leaders in the industry. The format is educational, knowledge advancement-based, with many opportunities to interact with the presenters and attendees. The Conference offers a unique opportunity to participate in the development of the retail industry’s research and technology through interaction with academics and professionals by means of expert panel discussions.

RETAILER REGISTRATION

    *Acceptance to attend must be acknowledged by an email confirmation

    RETAIL ATTENDEES (among others)

    Abt Electronics

    American Eagle Outfitters

    AT&T

    Big Y

    Brookshire Grocery Company

    Canadian Tire

    Claire’s

    Century 21 Department Stores

    Facebook

    Fast Retailing

    Finish Line

    GameStop

    GAP

    Gelson’s Markets

    Giant Eagle

    GIANT Food Stores

    Google

    Heinens Fine Foods

    Hickory Farms

    Hong Kong Shanghai Bank

    Home Depot

    Hudson Group

    Hy-Vee, Inc.

    Kohls

    Kroger

    Longo’s

    Lowe’s

    Lowe’s Foods

    Macy’s

    Neiman Marcus

    NY&CO

    Pacers Sports and Entertainment

    Panera Bread

    Price Chopper Supermarkets

    Rite Aid

    Roche Brothers Supermarkets

    Sears

    Shoot Point Blank

    Studio Movie Grill

    Target

    Tractor Supply

    Ulta Beauty

    Wakefern Food Corp.

    Walmart

    Wegmans Food Markets

    EVENT SPEAKERS

    MAGALI BERVILLÉ

    Sr. Dir. Digital Marketing, Moroccanoil

    JOHN BLACK

    Senior Vice President, New Product Development, Brain Corporation

    DR. MARTIN BLOCK

    Executive Director, Retail Analytics Council, and Professor, Northwestern University

    JEFF BURNSTEIN

    President, Association for Advancing Automation

    CARI COVENT

    VP, Artificial Intelligence and Intelligent Automation, Canadian Tire Corporation

    JEFF DONALDSON

    CEO, Intriosity, and former CIO, GameStop

    JUSTINE YOUNG GOTTSHALL

    Partner, Information Law Group

    DR. DON HIGH

    Chief Scientist, Walmart

    SRINI KANDALA

    Head of Local Commerce, Innovation, and the Deep Learning Center, Sears Holdings Corporation

    ANDRA KEAY

    Managing Director and Founder, Silicon Valley Robotics

    SACHIN KOTHARI

    Managing Director of Global Privacy and Compliance, AT&T Inc.

    BRENDA LEONG

    Senior Counsel and Director of Strategy, Future of Privacy Forum

    SEAN MACCARTHY

    Executive Director of Global Analytics and Store Segmentation, Claire’s

    MICHAEL McCULLOUGH

    Chief Privacy Officer and V.P., Data Risk, Macy’s Inc.

    DIANE RANDOLPH

    CIO, ULTA Beauty

    ROBERT MILLS

    EVP, Chief Technology, Digital Commerce and Strategy Officer, Tractor Supply

    DR. JOHN OSTREM

    CEO and Co-Founder, AvatarMind

    MAURICIO PAEZ

    Cybersecurity and Data Protection Partner, Jones Day

    STEVEN KEITH PLATT

    Research Director, Retail Analytics Council, Adjunct Professor, Northwestern University, and Director and Research Fellow, Platt Retail Institute

    JOHN PONNETT

    SVP Operations, Giant Food Stores

    ROB PRICE

    Sr. Director, Data Science and Software Engineering, Walmart

    WESLEY RHODES

    VP of Technology Transformation, Kroger Corporation

    TIM ROWLAND

    CEO, Badger Technologies

    DR. AHMAD SALAIMEH

    Research Assistant Professor, University of Kentucky

    DR. MARIOS SAVVIDES

    Prof. of Robotics in AI and Dir. of CyLab Biometrics Center, Carnegie Mellon University

    MATTHEW SEITZ

    Head of Insights & Analytics, U.S. Retailers, Google

    DR. DON E. SCHULTZ

    Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University

    RELVIN SUN

    CEO and Co-Founder, HARB Data

    AJ SUTERA

    EVP, Chief Information and Technology Office, Finish Line

    DR. MICHAEL L. THOMPSON

    Research Fellow, The Procter & Gamble Company

    CHARLOTTE C.J. TSOU

    Global Head of Marketing & Channels Analytics, HSBC

    DEBORAH WEINSWIG

    CEO and Founder, Coresight Research

    DAQING ZHAO

    Director of Advanced Analytics, Macy's

    SPONSORS

    AGENDA

    8:00-9:00am

    Breakfast & Registration

    9:00-9:15am

    Introduction to the Conference

    1. Dr. Frank Mulhern, Director, Retail Analytics Council, Associate Dean and Professor, Northwestern University

    9:15-10:30am

    U.S.-China Retailers, Consumer Trends, and AI

    Moderator: Charlotte Tsou, Global Head of Marketing & Channels Analytics, HSBC

    1. Dr. Martin Block, Executive Director, Retail Analytics Council, and Professor, Northwestern University
    2. Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University
    3. Relvin Sun, CEO and Co-Founder, HARB Data
    4. Deborah Weinswig, CEO and Founder, Coresight Research

    10:30-10:45am

    Break

    10:45am-12:00pm

    Observations on the State of Retail Technology and AI

    Moderator: Drew Ehlers, Global Director, Enterprise Software, Office of the CTO, Zebra Technologies Corporation

    1. Diane Randolph, CIO, ULTA Beauty
    2. Wesley Rhodes, COO Sunrise Technologies and VP Technology Transformation, Kroger
    3. AJ Sutera, EVP, Chief Information and Technology Office, Finish Line

    12:00-1:00pm

    Lunch

    1:00-1:45pm

    How to Implement a Retail Analytics Function

    Rob Price, Sr. Director, Data Science and Software Engineering, Walmart

    [tp_accordionspro id=”8368″]

    1:45-2:30pm

    Advanced Analytics in Customer-Centric Strategies

    Daqing Zhao, Director of Advanced Analytics, Macy’s

    [tp_accordionspro id=”6941″]

    2:30-3:00pm

    Break

    3:00-4:15pm

    AI Use Cases

    Moderator: Amin Shahidi, GVP Strategy Alliances and M&A, Sensormatic

    1. Srini Kandala, Head of Local Commerce, Innovation, and the Deep Learning Center, Sears Holdings Corporation
    2. Sean MacCarthy, Executive Director of Global Analytics and Store Segmentation, Claire’s
    3. Rob Mills, EVP, Chief Technology, Digital Commerce and Strategy Officer, Tractor Supply
    4. Matthew Seitz, Head of Insights & Analytics, U.S. Retailers, Google

    [tp_accordionspro id=”6940″]

    4:15-5:00pm

    Bayesian Machine Learning Applied in Marketing

    Moderator: Andres Groisman, Co-Founder & CEO, NoiseGrasp

    1. Dr. Michael L. Thompson,  Research Fellow, The Procter & Gamble Company
    2. Magali Berville, Sr. Dir. Digital Marketing, Moroccanoil

    [tp_accordionspro id=”8406″]

    5:00-5:15pm

    Summary

    Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University

    5:30-6:30pm

    RAC Lab and Campus Tour

    7:00-10:00pm

    Conference Reception

    8:00-9:00am

    Breakfast

    9:00-9:15am

    Introduction to Day Two

    Tom Hayden, J.D. and Lecturer, Northwestern University

    9:15-10:30am

    Data Privacy

    Moderator: Michael McCullough, Chief Privacy Officer and V.P., Data Risk, Macy’s Inc.

    1. Justine Gottshall, Partner, InfoLawGroup LLP
    2. Sachin Kothari, Managing Director, Global Privacy and Compliance, AT&T Inc. and Education Advisory Board Member, International Association for Privacy Professionals
    3. Brenda Leong, Senior Counsel and Director of Strategy, Future of Privacy Forum
    4. Mauricio Paez, Technology, Cybersecurity and Data Protection Partner, Jones Day

    [tp_accordionspro id=”6913″]

    10:30-11:45am

    Current Retail Robot Applications and Benefits

    Moderator: Tim Hood, Chief Technology Officer, Consumer Industries, SAP

    1. John Black, Senior Vice President, New Product Development, Brain Corporation
    2. Dr. Don High, Chief Scientist, Walmart
    3. John Ponnett, SVP Operations, Giant Food Stores
    4. Tim Rowland, CEO, Badger Technologies

    [tp_accordionspro id=”6939″]

    11:45am-1:00pm

    Lunch

    1:00-2:00pm

    Robots in Retail Competition

    Moderator: Jeff Donaldson, CEO, Intriosity, and former CIO, GameStop

    1. Michael Chambers, Chief Evangelist, UiPath
    2. Nikolaus Correll, CTO, Robotic Materials
    3. Brandon Maseda, Co-Founder and CEO, Accel Robotics

    [tp_accordionspro id=”6938″]

    2:00-2:45pm

    Robust Perception for Robotics Systems

    Dr. Marios Savvides, Prof. of Robotics in AI and Dir. of CyLab Biometrics Center, Carnegie Mellon University

    [tp_accordionspro id=”6937″]

    2:45-3:00pm

    Break

    3:00-3:45pm

    Intelligent Automation

    Cari Covent, VP, Artificial Intelligence and Intelligent Automation, Canadian Tire Corporation

    [tp_accordionspro id=”8366″]

    3:45-4:45pm

    Future Retail Robot Applications

    Moderator: Steven Keith Platt, Research Director, Retail Analytics Council and Director and Research Fellow, Platt Retail Institute

    1. Jeff Burnstein, President, The Association for Advancing Automation
    2. Andra Keay, Managing Director and Founder, Silicon Valley Robotics
    3. John S. Ostrem, Ph.D., CEO, AvatarMind
    4. Dr. Ahmad Salaimeh, Research Assistant Professor, University of Kentucky

    [tp_accordionspro id=”6936″]

    4:45-5:00pm

    Conference Concluding Remarks

    Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University

    Observations on the State of Retail Technology and AI
    Thursday, April 11 — 10:45am-12:00pm

    In this presentation, leading retailers will discuss trends in retail technology adoption. A brief presentation by each speaker will be followed by a detailed discussion of emerging tech trends, challenges, adoption rates, and the future direction of retail tech.

     

    How to Implement a Retail Analytics Function
    Thursday, April 11 — 1:00-1:45pm

    This session focuses on how to organize, execute, and manage an advanced analytics team. Topics addressed include: analytics of value, staffing, hardware and software criteria, organizational support, distribution of knowledge, as well as taking a centralized versus decentralized approach.

     

    Advanced Analytics in Customer-Centric Strategies
    Thursday, April 11 — 1:45-2:30pm

    Macy’s Advanced Analytics use data to build powerful tools to improve customer communications and understand customer retention via segmentation and life-time value analysis and modeling. We take a portfolio approach of various data sources, and modeling algorithms, using extensive test and experimentation to achieve Big Data AI solutions with sustaining benefits. There are many organizational implications, as well as data, analytics and modeling challenges. This session will discuss Macy’s experience in these areas.

     

    AI Use Cases
    Thursday, April 11 — 3:00-4:15pm

    Our retail panel will present four AI Use Cases. These include: 1. Influencing the Customer on the Path to Purchase; 2. Leveraging AI to Impact Store and Merchandising Decisions; 3.  Improving the Customer Experience through BOPIS (buy on line; pick up in store), and 4. Using Generative Adversarial Networks to Augment Customer Profiles with Synthetic Data. Issues identified, data applied, models built and deployed will be addressed, as well as discoveries made along the way.

     

    Bayesian Machine Learning Applied in Marketing

    Thursday, April 11 — 4:15-5:00pm

    Bayesian machine learning applied to marketing research transforms data collected at the aggregate market and individual consumer levels into insights that form the basis of profitable decisions. It does so by separating signal from noise with increasing certainty over time. This talk will introduce you to the ideas behind this technology. You can then readily recognize where Bayesian methods might offer value in your business and deduce whether your analytics resources are applying best practices. A use case will also be presented.

     

    Data Privacy
    Friday, April 12 — 9:15-10:30am

    Leading privacy and security experts address current challenges for retailers related to AI, facial recognition, biometrics, employee monitoring and augmented reality with practical, “no regrets” approaches to managing in a rapidly changing compliance environment.

     

    Current Retail Robot Applications and Benefits
    Friday, April 12 — 10:30-11:45am

    Adoption by retailers of robots is slowly increasing, as they have the potential to impact store operations. In this session, robotic experts and retailers will share pragmatic advice on how robots are being deployed and the benefits that are being realized. Specific use cases will be explored, including shelf-audit, inspection, and maintenance. In addition, the issue of data application will be explored.

     

    Robots in Retail Competition
    Friday, April 12 — 1:00-2:00pm

    Retailers are evaluating the potential of robotics and artificial intelligence (AI) to drive significant advancements in consumer experience, product and service design, labor productivity, core retail capabilities, and workforce upskilling. For successful implementation of digital transformation strategies, the ability to source innovative, often disruptive, solutions from robotics companies that deliver value in one or more of these areas is increasingly critical. In this session, three finalists from the first-ever RAC Retail Robotics Competition will present their solutions, and delineate the unique benefits that consumers and retailers can derive from them.

     

    Robust Perception for Robotics Systems
    Friday, April 12 — 2:00-2:45pm

    In his presentation, Dr. Hebert will discuss robotic introspection (self-awareness of performance), rapid learning and adaptation, anytime algorithms for deep learning, multiple hypothesis generation, etc. Examples from actual systems will be presented.

     

    Intelligent Automation
    Friday, April 12 — 3:00-3:45pm

    Responding to large technological shocks like AI for a century old retailer is challenging but has significant potential.  This session will concentrate on how Canadian Tire is focused on the practical application of Intelligent Automation to drive high gain and high impact results.  This 96-year-old retailer is using a high-fidelity model that links innovation to change using a combination of behavioral science frameworks, machine learning, and automation.  This session will also explore specific use cases that demonstrate the power of recruiting the right talent, the benefit of re-framing the question, and using low code solutions to improve customer experience.

     

    Future Retail Robot Applications
    Friday, April 12 — 3:45-4:45pm

    New applications for robots are emerging, but which will have commercial success? In this session, an expert panel will be presented with three robot concepts. Each will share their view on the feasibility to produce such a robot, the likely benefits to be realized, and the potential for adoption. Applications to be explored include inventory accuracy via RFID, shelf-stocking, and merchandise detection (of product freshness and for traceability).

    + Thursday, April 11

    8:00-9:00am

    Breakfast & Registration

    9:00-9:15am

    Introduction to the Conference

    1. Dr. Frank Mulhern, Director, Retail Analytics Council, Associate Dean and Professor, Northwestern University

    9:15-10:30am

    U.S.-China Retailers, Consumer Trends, and AI

    Moderator: Charlotte Tsou, Global Head of Marketing & Channels Analytics, HSBC

    1. Dr. Martin Block, Executive Director, Retail Analytics Council, and Professor, Northwestern University
    2. Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University
    3. Relvin Sun, CEO and Co-Founder, HARB Data
    4. Deborah Weinswig, CEO and Founder, Coresight Research

    10:30-10:45am

    Break

    10:45am-12:00pm

    Observations on the State of Retail Technology and AI

    Moderator: Drew Ehlers, Global Director, Enterprise Software, Office of the CTO, Zebra Technologies Corporation

    1. Diane Randolph, CIO, ULTA Beauty
    2. Wesley Rhodes, COO Sunrise Technologies and VP Technology Transformation, Kroger
    3. AJ Sutera, EVP, Chief Information and Technology Office, Finish Line

    12:00-1:00pm

    Lunch

    1:00-1:45pm

    How to Implement a Retail Analytics Function

    Rob Price, Sr. Director, Data Science and Software Engineering, Walmart

    [tp_accordionspro id=”8368″]

    1:45-2:30pm

    Advanced Analytics in Customer-Centric Strategies

    Daqing Zhao, Director of Advanced Analytics, Macy’s

    [tp_accordionspro id=”6941″]

    2:30-3:00pm

    Break

    3:00-4:15pm

    AI Use Cases

    Moderator: Amin Shahidi, GVP Strategy Alliances and M&A, Sensormatic

    1. Srini Kandala, Head of Local Commerce, Innovation, and the Deep Learning Center, Sears Holdings Corporation
    2. Sean MacCarthy, Executive Director of Global Analytics and Store Segmentation, Claire’s
    3. Rob Mills, EVP, Chief Technology, Digital Commerce and Strategy Officer, Tractor Supply
    4. Matthew Seitz, Head of Insights & Analytics, U.S. Retailers, Google

    [tp_accordionspro id=”6940″]

    4:15-5:00pm

    Bayesian Machine Learning Applied in Marketing

    Moderator: Andres Groisman, Co-Founder & CEO, NoiseGrasp

    1. Dr. Michael L. Thompson,  Research Fellow, The Procter & Gamble Company
    2. Magali Berville, Sr. Dir. Digital Marketing, Moroccanoil

    [tp_accordionspro id=”8406″]

    5:00-5:15pm

    Summary

    Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University

    5:30-6:30pm

    RAC Lab and Campus Tour

    7:00-10:00pm

    Conference Reception

    + Friday, April 12

    8:00-9:00am

    Breakfast

    9:00-9:15am

    Introduction to Day Two

    Tom Hayden, J.D. and Lecturer, Northwestern University

    9:15-10:30am

    Data Privacy

    Moderator: Michael McCullough, Chief Privacy Officer and V.P., Data Risk, Macy’s Inc.

    1. Justine Gottshall, Partner, InfoLawGroup LLP
    2. Sachin Kothari, Managing Director, Global Privacy and Compliance, AT&T Inc. and Education Advisory Board Member, International Association for Privacy Professionals
    3. Brenda Leong, Senior Counsel and Director of Strategy, Future of Privacy Forum
    4. Mauricio Paez, Technology, Cybersecurity and Data Protection Partner, Jones Day

    [tp_accordionspro id=”6913″]

    10:30-11:45am

    Current Retail Robot Applications and Benefits

    Moderator: Tim Hood, Chief Technology Officer, Consumer Industries, SAP

    1. John Black, Senior Vice President, New Product Development, Brain Corporation
    2. Dr. Don High, Chief Scientist, Walmart
    3. John Ponnett, SVP Operations, Giant Food Stores
    4. Tim Rowland, CEO, Badger Technologies

    [tp_accordionspro id=”6939″]

    11:45am-1:00pm

    Lunch

    1:00-2:00pm

    Robots in Retail Competition

    Moderator: Jeff Donaldson, CEO, Intriosity, and former CIO, GameStop

    1. Michael Chambers, Chief Evangelist, UiPath
    2. Nikolaus Correll, CTO, Robotic Materials
    3. Brandon Maseda, Co-Founder and CEO, Accel Robotics

    [tp_accordionspro id=”6938″]

    2:00-2:45pm

    Robust Perception for Robotics Systems

    Dr. Marios Savvides, Prof. of Robotics in AI and Dir. of CyLab Biometrics Center, Carnegie Mellon University

    [tp_accordionspro id=”6937″]

    2:45-3:00pm

    Break

    3:00-3:45pm

    Intelligent Automation

    Cari Covent, VP, Artificial Intelligence and Intelligent Automation, Canadian Tire Corporation

    [tp_accordionspro id=”8366″]

    3:45-4:45pm

    Future Retail Robot Applications

    Moderator: Steven Keith Platt, Research Director, Retail Analytics Council and Director and Research Fellow, Platt Retail Institute

    1. Jeff Burnstein, President, The Association for Advancing Automation
    2. Andra Keay, Managing Director and Founder, Silicon Valley Robotics
    3. John S. Ostrem, Ph.D., CEO, AvatarMind
    4. Dr. Ahmad Salaimeh, Research Assistant Professor, University of Kentucky

    [tp_accordionspro id=”6936″]

    4:45-5:00pm

    Conference Concluding Remarks

    Dr. Don E. Schultz, Director, Retail Analytics Council, and Professor (Emeritus-in-Service), Northwestern University

    + Session Descriptions

    Observations on the State of Retail Technology and AI
    Thursday, April 11 — 10:45am-12:00pm

    In this presentation, leading retailers will discuss trends in retail technology adoption. A brief presentation by each speaker will be followed by a detailed discussion of emerging tech trends, challenges, adoption rates, and the future direction of retail tech.

     

    How to Implement a Retail Analytics Function
    Thursday, April 11 — 1:00-1:45pm

    This session focuses on how to organize, execute, and manage an advanced analytics team. Topics addressed include: analytics of value, staffing, hardware and software criteria, organizational support, distribution of knowledge, as well as taking a centralized versus decentralized approach.

     

    Advanced Analytics in Customer-Centric Strategies
    Thursday, April 11 — 1:45-2:30pm

    Macy’s Advanced Analytics use data to build powerful tools to improve customer communications and understand customer retention via segmentation and life-time value analysis and modeling. We take a portfolio approach of various data sources, and modeling algorithms, using extensive test and experimentation to achieve Big Data AI solutions with sustaining benefits. There are many organizational implications, as well as data, analytics and modeling challenges. This session will discuss Macy’s experience in these areas.

     

    AI Use Cases
    Thursday, April 11 — 3:00-4:15pm

    Our retail panel will present four AI Use Cases. These include: 1. Influencing the Customer on the Path to Purchase; 2. Leveraging AI to Impact Store and Merchandising Decisions; 3.  Improving the Customer Experience through BOPIS (buy on line; pick up in store), and 4. Using Generative Adversarial Networks to Augment Customer Profiles with Synthetic Data. Issues identified, data applied, models built and deployed will be addressed, as well as discoveries made along the way.

     

    Bayesian Machine Learning Applied in Marketing

    Thursday, April 11 — 4:15-5:00pm

    Bayesian machine learning applied to marketing research transforms data collected at the aggregate market and individual consumer levels into insights that form the basis of profitable decisions. It does so by separating signal from noise with increasing certainty over time. This talk will introduce you to the ideas behind this technology. You can then readily recognize where Bayesian methods might offer value in your business and deduce whether your analytics resources are applying best practices. A use case will also be presented.

     

    Data Privacy
    Friday, April 12 — 9:15-10:30am

    Leading privacy and security experts address current challenges for retailers related to AI, facial recognition, biometrics, employee monitoring and augmented reality with practical, “no regrets” approaches to managing in a rapidly changing compliance environment.

     

    Current Retail Robot Applications and Benefits
    Friday, April 12 — 10:30-11:45am

    Adoption by retailers of robots is slowly increasing, as they have the potential to impact store operations. In this session, robotic experts and retailers will share pragmatic advice on how robots are being deployed and the benefits that are being realized. Specific use cases will be explored, including shelf-audit, inspection, and maintenance. In addition, the issue of data application will be explored.

     

    Robots in Retail Competition
    Friday, April 12 — 1:00-2:00pm

    Retailers are evaluating the potential of robotics and artificial intelligence (AI) to drive significant advancements in consumer experience, product and service design, labor productivity, core retail capabilities, and workforce upskilling. For successful implementation of digital transformation strategies, the ability to source innovative, often disruptive, solutions from robotics companies that deliver value in one or more of these areas is increasingly critical. In this session, three finalists from the first-ever RAC Retail Robotics Competition will present their solutions, and delineate the unique benefits that consumers and retailers can derive from them.

     

    Robust Perception for Robotics Systems
    Friday, April 12 — 2:00-2:45pm

    In his presentation, Dr. Hebert will discuss robotic introspection (self-awareness of performance), rapid learning and adaptation, anytime algorithms for deep learning, multiple hypothesis generation, etc. Examples from actual systems will be presented.

     

    Intelligent Automation
    Friday, April 12 — 3:00-3:45pm

    Responding to large technological shocks like AI for a century old retailer is challenging but has significant potential.  This session will concentrate on how Canadian Tire is focused on the practical application of Intelligent Automation to drive high gain and high impact results.  This 96-year-old retailer is using a high-fidelity model that links innovation to change using a combination of behavioral science frameworks, machine learning, and automation.  This session will also explore specific use cases that demonstrate the power of recruiting the right talent, the benefit of re-framing the question, and using low code solutions to improve customer experience.

     

    Future Retail Robot Applications
    Friday, April 12 — 3:45-4:45pm

    New applications for robots are emerging, but which will have commercial success? In this session, an expert panel will be presented with three robot concepts. Each will share their view on the feasibility to produce such a robot, the likely benefits to be realized, and the potential for adoption. Applications to be explored include inventory accuracy via RFID, shelf-stocking, and merchandise detection (of product freshness and for traceability).

    Thursday, April 11

    8:00-9:00am

    Breakfast

    9:00-9:15am

    Introduction to the Retail Analytics Council

    9:15-10:15am

    NLP Applications in Retail

    Thursday, April 11

    8:00-9:00am
    Breakfast
    9:00-9:15am
    Introduction to the Retail Analytics Council

    Thursday, April 11

    8:00-9:00am
    Breakfast
    9:00-9:15am
    Introduction to the Retail Analytics Council

    Dr. Han Liu

    Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

    Han is a computer scientist and statistician, using computation and data as a lens to explore science and intelligence. His research is focused on nonparametric structure learning and representation learning. Success in this research has the potential to revolutionize the foundation of the second generation of artificial intelligence and push the frontier of the third generation of artificial intelligence. He received his Ph.D. Machine Learning and Statistics from Carnegie Mellon University.

    Dr. Han Liu

    Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

    Han is a computer scientist and statistician, using computation and data as a lens to explore science and intelligence. His research is focused on nonparametric structure learning and representation learning. Success in this research has the potential to revolutionize the foundation of the second generation of artificial intelligence and push the frontier of the third generation of artificial intelligence. He received his Ph.D. Machine Learning and Statistics from Carnegie Mellon University.

    Dr. Han Liu

    Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

    Han is a computer scientist and statistician, using computation and data as a lens to explore science and intelligence. His research is focused on nonparametric structure learning and representation learning. Success in this research has the potential to revolutionize the foundation of the second generation of artificial intelligence and push the frontier of the third generation of artificial intelligence. He received his Ph.D. Machine Learning and Statistics from Carnegie Mellon University.

    Dr. Han Liu

    Associate Professor of Computer Science and Statistics, Northwestern University and Chief Data Science Advisor, PRI.ai

    Han is a computer scientist and statistician, using computation and data as a lens to explore science and intelligence. His research is focused on nonparametric structure learning and representation learning. Success in this research has the potential to revolutionize the foundation of the second generation of artificial intelligence and push the frontier of the third generation of artificial intelligence. He received his Ph.D. Machine Learning and Statistics from Carnegie Mellon University.