All videos
Opera view

How to recommend a personalised product to thousands of clients starting with raw data to real-time serving

July 21, 2020

Recommending a personalised product to the client is one of the crucial challenges for multiple businesses, including the top retailer from the UK. In this talk, we will walk through the world of Hadoop to discuss challenges and tools built by Data Scientists and ML Engineers to create stable, production-grade solutions for recommendations; then we will continue to consider the how different is world of the real-time serving in web-services.

Tags

Data Data Science Hadoop Machine Learning Web-Services

About the speaker

Hubert Pomorski

Hubert Pomorski

Senior Big Data Developer at VirtusLab
Hubert Pomorski is Senior Big Data Developer @ VirtusLab, currently supporting client endeavor to scalable, fully automated Machine Learning pipelines in hybrid Hadoop-cloud environment. In…
Read more

Other videos that you might like

fallback image
Data
Monitoring with no limits
Nikolay Tsvetkov
fallback image
Data
Stream processing in telco – case study based on Apache Flink & TouK Nussknacker
Maciek Próchniak
fallback image
Data
Machine Learning in Visual Search
Aleksandra Kunysz
fallback image
AI
Data
How to build an AI from zero to learn to play and solve a tough game
Juan Tomás García
All videos