Join the only industry conference that brings together specialists in retail and e-commerce data science fields to share best practices and innovate new solutions. Data Science Salon: November 17-20, 2020.

Data Science Virtual Salon: Retail & E-Commerce

The AI for finance journey has already started and has brought to the surface all sorts of opportunities in repetitive, time-consuming, manual tasks. From our office in Luxembourg, one of Europe's major financial centers, we are already working with some big players in the industry.

AI for finance: where are the opportunities for financial services

We collaborated with Mike del Prete, a real estate strategist, to quantify and visualize the impact of coronavirus in U.S. real estate market. Business storytelling enhanced through data visualizations—even more so on uncertain scenarios

Enhancing business storytelling with data: COVID 19 impact on U.S. real estate markets

Enhancing business storytelling with data

Norfair is a customizable lightweight Python library for real-time 2D object tracking built by Tryolabs. Using Norfair, you can add tracking capabilities to any detector with just a few lines of code.

Releasing Norfair: an open source library for object tracking

Common strategies on how to do machinery maintenance, with a specific focus on predictive maintenance. Learn how machine learning algorithms play to improve on these solutions.

Predictive maintenance using Machine Learning

Why you should consider Machine Learning Systems in your marketing mix toolkit.

Machine Learning in your marketing mix strategy: taking the guesswork out

End-to-end analysis of the creative process behind a system to detect face masks from street camera video streams using Computer Vision

Face mask detection in street camera video streams using AI: behind the curtain

Introduction to Personal data anonymization essential aspects: formats, techniques, and process. Finally, we summarize how data anonymization affects Machine Learning models

Personal data anonymization: key concepts & how it affects machine learning models

We showcase a typical process to develop demand forecasting, and price optimization capabilities with Machine Learning for a retail business, using as an example a public dataset from the Brazilian e-commerce Olist

Price optimization for e-commerce: a case study

An introduction to Price Optimization, its opportunities with Machine Learning, and how retailers can use automated pricing solutions to increase revenue.

How Machine Learning is reshaping Price Optimization

Google's plans on making Swift the first mainstream language with first-class language-integrated differentiable programming capabilities. What's so cool about Swift?

Swift: Google's bet on differentiable programming

Inman Connect 2020 recap from the Machine Learning perspective: the actual real estate landscape, and future opportunities. Learn how iBuyers changed the real estate industry and how to use your available data.

Our AI & Machine Learning knowledge base

A blog dedicated to state-of-the-art technology, experiences, and random thoughts.

Data Science Virtual Salon: Retail & E-Commerce

AI for finance: where are the opportunities for financial services

Enhancing business storytelling with data

Releasing Norfair: an open source library for object tracking

Predictive maintenance using Machine Learning

Machine Learning in your marketing mix strategy: taking the guesswork out

Face mask detection in street camera video streams using AI: behind the curtain

Personal data anonymization: key concepts & how it affects machine learning models

Price optimization for e-commerce: a case study

How Machine Learning is reshaping Price Optimization

Swift: Google's bet on differentiable programming

Real estate and machine learning: takeaways from Inman Connect 2020

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