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:

SPEAKERS

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

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Aaron Bernstein

Senior Director - Insights & Advocacy, Walmart
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Linda Leopold

Head of AI Policy, H&M
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Ravi Buragapu

Director of Engineering & Operations, Kohl's
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Hirshank Jhildiyal

Senior Manager of Analytics at Audible, an Amazon Company
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Martin Baumgartel

Head of Site Search, Verizon
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Sachin Bansal

Head of Applied Machine Learning @ISO, Apple

Panel Moderator

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Ujjwal Das Gupta

Senior Research Engineer, Apple
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Anne Lifton

Manager - Data Science, Nordstrom
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Ryan Kee

Senior Innovation Manager - Artificial Intelligence, Walmart
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Ashok Ramaraj

Inventory Intelligence - Club Operations, Walmart
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Chirag Shah

Associate Professor, Rutgers University
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Dipayan Chatopadhyay

Senior Engineer - ML Platform, Nordstrom
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Ankit Mangal

Associate Director, Wayfair
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Ameen Kazerouni

Lead Data Scientist, Zappos
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Ramki Gummadi

Principal Data Engineer, Target
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Clayton Kim

Senior Manger - Algorithms, Wayfair
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Arun Sundararajan

NYU Professor, Author, & Expert
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Edgar Kraychik

Head of Enterprise Data Management, Sears
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Tian Su

Senior Manager & Data Scientist, 7-Eleven
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Jolene Mork

Senior Data Scientist, Macy's
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Agenda

This is the basic agenda so you can know timing for travel arrangements. A detailed agenda that includes speaker session times will be posted closer to the conference.

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: Bar Crawl

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: Bar Crawl

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.

*Please note that the cost of dinner is included in your conference pass. Spaces are available on a first-come, first-served basis. Only registered ticket holders will have the opportunity to attend.  

Ai4 OFFICIAL BAR CRAWL

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! We’ve set up an official Ai4 Retail bar crawl route. Registered attendees will be provided the bar crawl 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.

Past Sponsors

We carefully select sponsors that we believe will add value to our community. Interested in sponsoring? Please submit your request below.

It goes without saying, that all sponsors as well as attendees must abide by our code of conduct.

Submit A Partnership Request

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, Ai4 Retail, and Ai4 Telecom.