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
Technical Product Manager, Machine Learning at H&M Group

Ritesh Ratti
Senior Data Scientist at Delivery Hero

Gina Schmalzle
Principal Data Scientist at Nordstrom

Charles Irizarry
CEO and Founder at Phygital

Ankita Mangal
Senior Data Scientist at Procter & Gamble

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

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CTO, John Snow Labs

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SVP, Data Analytics & AI, Royal Caribbean Cruises

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Chief Research Officer, Viacom

“The Data Science Salon series is the most important new conversation happening in the industry right now.”
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Watch on-demand
For any queries regarding Registration or Tickets, please contact us via info@formulated.by