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 TRACKThis 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:
|
BUSINESS TRACKThis 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:
|
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 TRACKThis 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:
|
| TRACK 2 |
BUSINESS TRACKThis 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:
|
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.
Aaron Bernstein
Talk Title: Building the Next Generation of Business Intelligence
Linda Leopold
Talk Title: We Need to Talk About AI Ethics
Clayton Kim
Panel: AI for Demand Optimization
Hrishank Jhildiyal
Talk Title: Applications of Causal Modeling for Product and Marketing
Martin Baumgartel
Talk Title: How AI is Influencing Findability in E-Commerce and Service
Ryan Kee
Talk Title: Using the Data You Have to Get The Data You Want
Bhagyesh Phanse
Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s
Anne Lifton
Talk Title: Life Hacks for Thrilling the Customer with Your Data Science Products
Joe Berry
Talk Title: Essential Lessons for Growing a Successful DS Team
Salman Yousaf
Talk Title: How Greedy Algorithms Clean-Up American Tire Distributors Warehouses
Amir Meimand
Talk Title: An Innovative Approach for Substitute Product Mining Based on Graph Theory and Word Embedding Techniques
Dipayan Chatopadhyay
Talk Title: Nordstrom’s Journey to Building a Machine Learning Platform
Ankit Mangal
Talk Title: Computer Vision at Wayfair
Ameen Kazerouni
Talk Title: Machine Learning in Production: From Research to the Customer
Chandler McCann
Talk Title: Applying AI Automation: Modern Demand Forecasting
Arun Sundararajan
Talk Title: The Five Forces of AI
Ken Zamkow
Panel: The Democratization of AI
Edgar Kraychik
Talk Title: Operationalizing Data Platforms
Tian Su
Talk Title: An End to End CRM Strategy: CLTV, Customer Segmentation and Personalization
Jolene Mork
Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s
Rich Hultman
Talk Title: Chatbot & Human-to-Human Transition
Iain Stitt
Talk Title: Machine Learning for Pricing and Inventory Optimization @ Macy’s
Ioanna Karkatsouli
Panel: AI for Demand Optimization
David Dadoun
Talk Title: Can You See Me?
Marwan Sab
Talk Title: Can You See Me?
Justine Santa Cruz
Panel: AI for Demand Optimization
Talha Rehman
Talk Title: From Shopping List to Shopping Cart powered by AI
Saif Rivers
Panel: AI for Supply Chain
Anastasia Sartan
Talk Title: Voice as a the New Retail Interface
Yukti Bhambhani
Panel: The Democratization of AI
Kishor Akshinthala
Talk Title: Algo Retailing – The New Frontier to Unlocking Exponential Value
James Brusseau, PhD
Dave Marmour
Panel: AI for Supply Chain
Jagadish Mahendran
Talk Title: AI in Retail – Can it Solve Human Specialty Tasks?
Paul Nemirovsky
Panel: The Democratization of AI
Ken Natori
Panel: AI for Marketers
Rahul Jadhav
Panel: AI for Demand Optimization
Rick Saporta
Talk Title: The Data Relay Race – ‘Playing Team’ to turn data into action
Vishal Anand
Talk Title: Deeper look at Deep Nets
Matt Morton
Panel: AI for Supply Chain
Menno van der Eijk
Panel: AI for Demand Optimization
Alex Kelleher
Panel: AI for Marketers
Ken Krasnow
Panel: AI for Marketers
Soumya Donkada
Panel: AI for Marketers
Meredith Sachs
David Davitt
Panel: AI for Supply Chain
Subroto Mukherjee
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.
