GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS

Over two days, the Ai4 Retail conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve problems and create opportunities in the retail industry. Thanks to the convergence of modern computing power and data science, the retail industry is leveraging AI to create entirely new value.

Industry leaders will highlight the most valuable insights by delivering specific use cases. Whether you hold a technical, non-technical, or hybrid role, Ai4 is focused on helping you along on your AI journey, at whichever stage you may be.

A New Kind of Conference

Retail Industry Specific

A conference built just for you

Practical Use Case Driven

Real insights that you can apply today

Application Only

To ensure quality connections

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

A New Kind of Conference

Retail Industry Specific

A conference built just for you

Application Only

To ensure quality connections

Practical Use Case Driven

Real insights that you can apply today

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

what you'll learn

Our goal at Ai4 Retail is to provide a common framework for thinking about what AI means to the industry.

Below are the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

Our goal at Ai4 Retail is to provide a common framework for thinking about what AI means to the industry.

Below are the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                             TRACK 2                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!
TRACK 2                            

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

who should attend

Business leaders & data practitioners who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs, best in class service providers, and startups.

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X],  Senior Director, ED

Common Technical Roles:

– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead, Head of IT

Join Applicants From:

Decision-makers from leading companies who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs, best in class service providers, and startups.

 

Common Business Roles:

– CMO, COO, CEO

– VP, SVP, EVP

– Head of [X], Senior Director, ED

 

 

Common Technical Roles:
– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect, ML Engineer

– Tech Lead

Join Applicants From:

2019 SPEAKERS

45+ speakers from leading retailers and consumer products companies will take stage over the two days to share their AI initiatives.

null

Aaron Bernstein

Senior Director - Insights & Advocacy, Walmart

Talk Title: Building the Next Generation of Business Intelligence

null

Linda Leopold

Head of AI Policy, H&M

Talk Title: We Need to Talk About AI Ethics

null

Clayton Kim

Senior Manager - Algorithms, Wayfair

Panel: AI for Demand Optimization

null

Hrishank Jhildiyal

Senior Manager of Analytics at Audible, an Amazon Company

Talk Title: Applications of Causal Modeling for Product and Marketing

null

Martin Baumgartel

Head of Site Search, Verizon

Talk Title: How AI is Influencing Findability in E-Commerce and Service

null

Ryan Kee

Director – Innovation, AI, Walmart

Talk Title: Using the Data You Have to Get The Data You Want

null

Bhagyesh Phanse

Vice President, Data Science & Data Governance, Macy's

Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s

null

Anne Lifton

Manager - Data Science, Nordstrom

Talk Title: Life Hacks for Thrilling the Customer with Your Data Science Products

null

Joe Berry

Senior Data Scientist, Edited

Talk Title: Essential Lessons for Growing a Successful DS Team

null

Salman Yousaf

Data Scientist, ATD

Talk Title: How Greedy Algorithms Clean-Up American Tire Distributors Warehouses

null

Amir Meimand

Director of Science, Zilliant

Talk Title: An Innovative Approach for Substitute Product Mining Based on Graph Theory and Word Embedding Techniques

null

Dipayan Chatopadhyay

Senior Engineer - ML Platform, Nordstrom

Talk Title: Nordstrom’s Journey to Building a Machine Learning Platform

null

Ankit Mangal

Associate Director, Wayfair

Talk Title: Computer Vision at Wayfair

null

Ameen Kazerouni

Lead Data Scientist, Zappos

Talk Title: Machine Learning in Production: From Research to the Customer

null

Chandler McCann

GM Time Series - Data Scientist, DataRobot

Talk Title: Applying AI Automation: Modern Demand Forecasting

null

Arun Sundararajan

NYU Professor, Author, & Expert

Talk Title: The Five Forces of AI

null

Ken Zamkow

General Manager - North America, Run.ai

Panel: The Democratization of AI

null

Edgar Kraychik

Head of Enterprise Data Management, Sears

Talk Title: Operationalizing Data Platforms

null

Tian Su

Senior Manager & Data Scientist, 7-Eleven

Talk Title: An End to End CRM Strategy: CLTV, Customer Segmentation and Personalization

null

Jolene Mork

Senior Data Scientist, Macy's

Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s

null

Rich Hultman

Senior UX Manager - Services & Strategic Growth Office, BestBuy

Talk Title: Chatbot & Human-to-Human Transition

null

Iain Stitt

Data Scientist, Macy's

Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s

null

Ioanna Karkatsouli

Senior Data Scientist - Pricing, Staples

Panel: AI for Demand Optimization

null

David Dadoun

Senior Director Data & Analytics, The ALDO Group

Talk Title: Can You See Me?

null

Marwan Sab

Senior Manager - Advanced Analytics, The ALDO Group

Talk Title: Can You See Me?

null

Justine Santa Cruz

SVP - Retail, Satisfi Labs

Panel: AI for Demand Optimization

null

Talha Rehman

Product Manager, Staples

Talk Title: From Shopping List to Shopping Cart powered by AI

null

Saif Rivers

Partner & Global Supply Chain and Retail Operations Practice Leader, IBM

Panel: AI for Supply Chain

null

Anastasia Sartan

CEO, StyleHacks

Talk Title: Voice as a the New Retail Interface

null

Yukti Bhambhani

Senior Data Scientist, Unilever

Panel: The Democratization of AI

null

Kishor Akshinthala

Strategic Pursuits Leader, Tata Consultancy Services

Talk Title: Algo Retailing – The New Frontier to Unlocking Exponential Value

null

James Brusseau, PhD

Director of Data Ethics Site. Pace University
null

Dave Marmour

Data Scientist - Digital Supply Chain, Unilever

Panel: AI for Supply Chain

null

Jagadish Mahendran

AI/Computer Vision Lead, Fellow Robots

Talk Title: AI in Retail – Can it Solve Human Specialty Tasks?

null

Paul Nemirovsky

CEO, Dmetrics

Panel: The Democratization of AI

null

Ken Natori

President, Natori

Panel: AI for Marketers

null

Rahul Jadhav

Senior Manager, Luxottica

Panel: AI for Demand Optimization

null

Rick Saporta

Head of Data Strategy & Insights, The Farmer's Dog

Talk Title: The Data Relay Race – ‘Playing Team’ to turn data into action

null

Vishal Anand

Azure Engineering, Microsoft

Talk Title: Deeper look at Deep Nets

null

Matt Morton

Senior Manager - Supply Chain Network, The Home Depot

Panel: AI for Supply Chain

null

Menno van der Eijk

Senior Manager - Digital & eCommerce, Unilever

Panel: AI for Demand Optimization

null

Alex Kelleher

Managing Director, Deloitte Digital

Panel: AI for Marketers 

null

Ken Krasnow

Omnichannel Marketing, Henkel

Panel: AI for Marketers

null

Soumya Donkada

Business Leader - Innovation & Strategy, Unilever

Panel: AI for Marketers

null

Meredith Sachs

Director - Business Planning, The Childrens Place
null

David Davitt

Head of Bid Management, DHL

Panel: AI for Supply Chain

null

Subroto Mukherjee

Senior Manager & Head of Innovation, GSK

Panel: The Democratization of AI

Agenda

Below is the high level agenda so you can know timing for travel arrangements. You’ll find a detailed agenda that includes speaker session times, abstracts, and bios by clicking the button below.

JUNE 24TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Data For Dinner

JUNE 25TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Cocktails

JUNE 24TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Data For Dinner

JUNE 25TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Cocktails

DATA FOR DINNER

MONDAY, JUNE 24TH, 6:30-8:30PM

Join us for curated 12 person group dinners after Day 1 of the conference ends! We’ve made reservations at a handful of New York favorites for you to choose from. Experience great food and continue to build lasting relationships with other attendees.

Ai4 OFFICIAL COCKTAILS

TUESDAY, JUNE 25TH, 6:30pm-LATE

Can you think of a better way to make connections? Neither could we! After the conference ends on Tuesday, you’ll have a chance to recharge and grab some food before heading out for a night in New York! Registered attendees will be provided the details.

Venue

Convene

117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transportation hubs, Times Square, and Rockefeller Center.

Book Your Hotel

Hyatt Centric | Times Square New York

135 West 45th Street, New York, New York 10036

As the venue is not located within a hotel, this Hyatt is our recommended nearby option. Click here for information and directions.

Or call (646) 364 1234 to book.

About

Artificial intelligence could be the last invention that humankind needs to make. As such, we think it’s pretty important we get it right. In 2019, Ai4 conferences will educate 1500+ top executives & data practitioners at the world’s largest companies about how they can responsibly leverage AI today. Confusion is still commonplace when discussing AI for the enterprise; from basic definitions all the way to implementation. Through our conferences and content, we aim to provide a common understanding for what AI means to the enterprise. Visit our homepage to learn about each of our conferences: Ai4 Finance, Ai4 Healthcare, Ai4 Cybersecurity, and Ai4 Retail.