DSS Virtual Mini Salon

Applying AI & Machine Learning to Retail & E-Commerce   

May 18, 2022

Sponsored by

Join DSS Virtual Mini Salon for knowledge sharing and networking with other data science professionals! All sessions will be available on-demand until two weeks after the event.

speakers

attendees online

On demand

Meet the Speakers

Boshika	Tara

Boshika Tara

Technical Product Manager, Machine Learning at H&M Group

Ritesh Ratti

Ritesh Ratti

Senior Data Scientist at Delivery Hero

Gina Schmalzle

Gina Schmalzle

Principal Data Scientist at Nordstrom

Charles Irizarry

Charles Irizarry

CEO and Founder at Phygital

Ankita Mangal

Ankita Mangal

Senior Data Scientist at Procter & Gamble

Marius Moscovici

Marius Moscovici

Founder & CEO at Metric Insights

Schedule

1.00PM – 1.10PM

Introduction & Housekeeping

1:10pm - 1:40pm

Recommender Systems for Retail & E-commerce

Ritesh Ratti – Senior Data Scientist at Delivery Hero

Recommender systems has played a vital role in improving the user experience and overall revenue for an organisation. It has been a necessity for any retail or e-commerce organisation to target the customers efficiently. In this talk i will be talking about building recommender systems like Trending , Behavioural & Personalised Recommendation system. I will also be covering building the software systems around Upselling items recommendation system using tools like Spark ML, Airflow etc.

1:40pm - 2:10pm

Mitigating bias in AI with diverse data teams

Boshika Tara – Technical Product Manager, Machine Learning at H&M Group

Product data is at the heart of any e-commerce site. Product data enhances key functionalities such as search, recommendations, faceting, filtering etc. Traditionally within retail, enrichment has been done to extract features from product data using systems such as PIM. Product data consists of rich representations from images and text which contain a lot of important information about the product. With the exponential growth, and incredible developments in computing technologies have contributed to the rise of multimodal learning that utilizes NLP and different media forms like image, text, video, sound, etc.

In this talk we will explore how we can harness the power of multimodal models to learn representations from product data containing text and images to unlock a richer set of attributes that provide value to our customers.

2:10pm - 2:40pm

Bringing your Data Science Assets into the Light of Day

Marius Moscovici – Founder & CEO at Metric Insights

Much of the work performed by Data Science teams remains buried far away from business users. To generate real value from investment in machine learning, companies must bring these resources into the light of day. This presentation will be a case study on how a wide array of data science assets can be published and governed in a centralized platform.

This will cover:
– Consolidating a heterogeneous set of data science assets under a single pane of glass
– Capturing & sharing metadata to promote discoverability
– Enabling enterprise-wide search for maximum adoption and reusability

2:40pm - 3:20pm

Coffee Chat: Inspiring ML Use Cases in Retail Delivering Measurable Impact

Ankita Mangal – Senior Data Scientist at Procter & Gamble

Charles Irizarry – CEO and Founder at Phygital

3.20pm - 3.50pm

Ensuring Technical Excellence in a Growing Analytics Organization

Gina Schmalzle – Principal Data Scientist at Nordstrom

About seven years ago, Nordstrom created a centralized Analytics Organization specializing in digital and styling, merchandising, marketing, supply chain, and strategic analytics. During this period of rapid growth, teams created their own standards for data science and analytics projects that helped ensure the quality of the individual team’s products. However, inconsistent standards between teams potentially affect product quality and user experiences and could introduce risk at all stages of the analytics development process. In this presentation, I will review the Nordstrom Data Science Technical Excellence Initiative – our plan for reducing project risk and raising our technical bar.

3.50pm - 4.20pm

Combining NFTs and Data Science to Unveil the Gaps in Product Traceability

Charles Irizarry – CEO and Founder at Phygital

4.20pm - 4.30pm

Wrap Up

Reasons to join the salon

  • Improve your data skills in engaging virtual presentations and coffee chats
  • E-meet and connect with leading data scientists through intelligent networking apps
  • Learn how to apply state-of-the art AI and machine learning techniques
  • Ask expert speakers questions in live q&a sessions
  • Access all sessions on-demand until two weeks after the event
  • Access to the DSS Community Platform

What people are saying

Eduardo Arino de la Rubia Domino Data Lab

“Their conferences are smaller, more intimate, with lots of opportunities for workshops and networking, which helps fill that need in the data science community to get together from time to time.”

David Talby

CTO, John Snow Labs

Eduardo Arino de la Rubia Domino Data Lab

“Data Science SALON is a must-attend event for decision-makers across the data science landscape. The combination of high-quality content and power networking creates a unique opportunity to generate business.”

Matt Denesuk

SVP, Data Analytics & AI, Royal Caribbean Cruises

Eduardo Arino de la Rubia Domino Data Lab

“Both Viacom and Data Science Salon are known for being at the forefront of their fields. We’re proud to provide a platform for DSS, and to host the most relevant conversations on data science in media and entertainment.”

Colleen Fahey Rush

Chief Research Officer, Viacom

Eduardo Arino de la Rubia Domino Data Lab

“The Data Science Salon series is the most important new conversation happening in the industry right now.”

Eduardo Arino de la Rubia

Head of Data Science, Instagram

Watch on-demand

For any queries regarding Registration or Tickets, please contact us via info@formulated.by 

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