Monthly Archives: June 2019

Artificial intelligence transforms travel experience

In terms of data, tourism industry is complex to analyze. It has just 25% of structured data that comes from varied sources like business websites of tour operators, e-commerce by travel agencies, hosting companies, restaurants, transporters and CRM & other […]

Meals and data: How is the food delivery industry evolving?

How do 18-35 year olds eat? In 2017, Kingcom did a study on the eating habits of millennials. This study revealed that 18-34 year olds are changing the social dimension of food with their massive use of internet during all […]

Data Science Summer School 2017 – first Edition

Even before the begining, the international program organised by Emmanuel Bacry (co-founder of nam.R, director of research at the CNRS at Paris Dauphine University and lecturer at Ecole Polytechnique), was a success: 700 applications of which 400 were accepted, 30 […]

Data Science Summer School 2018

An idea of Emmanuel Bacry, co-founder of nam.R, director of research at the CNRS, Paris Dauphine University and lecturer at the Ecole Polytechnique, the Data Science Summer School have gathered this year a new colorful panel of experts. Among them, Cédric Villani, […]

Why use machine learning in marketing?

Overview of new practices: The data sources used in customer marketing are diverse. The traces left online by internet users are numerous. Marketers can easily observe consumers through their online shopping, apps, conversations on social media, browsing history or search […]

Big data for better collaboration between B2B marketing and sales

The contribution of big data in marketing will first translate into improved marketing tools and strategies. Personas are a thing of traditional marketing toolbox. These ‘robot portraits’ personify the customers and the kind of people a company is targeting and […]

Big GEOdata: Data mapping and exploitation

When surfing on computer or smartphone, a user can leave a lot of personal information (digital footprint) such as age, gender, profession and most importantly, his current location. Information about user’s location can be transmitted even without his or her […]