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.

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.

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

Ankita Mangal – Senior Data Scientist at Procter & Gamble

Charles Irizarry – CEO and Founder at Phygital

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.

Charles Irizarry – CEO and Founder at Phygital