Building your own Audience Engine
How Building your own Audience Engine: Turning the Google ecosystem into a cookieless customer data platform
Data-driven marketing: the rise of the customer data platform
21 June 2021 Data-Driven Marketing | This seems the perfect moment for the widespread adoption of Customer Data Platforms or CDPs.
Powering your call centre with artificial intelligence
3 June 2021 Learn how to improve customer satisfaction and create added-value using Google Contact Center AI. Read about the key outcomes of the webinar on March 30th presented by Matthieu Myszak - Data Consulting Director, Artefact and Julien Tribout - Sales Lead Google Contact Center AI.
Introducing NLPretext, a unified framework to facilitate text preprocessing.
23 February 2021 Working on NLP projects? Tired of always looking for the same silly preprocessing functions on the web, such as removing accents from French posts? Tired of spending hours on Regex to efficiently extract email addresses from a corpus? Amale El Hamri will show you how NLPretext got you covered!
How to train a language model from scratch without any linguistic knowledge
25 November 2020 In this article, Amale El Hamri, Senior Data Scientist at Artefact France explains how to train a language model without having understanding the language yourself. The article includes tips on where to get training data from, how much data you need, how to preprocess your data and how to find an architecture and a set of hyperparameters that best suit your model.
NLU benchmarks for intent detection and named-entity recognition in call centre conversations
25 November 2020 Call centers advisors are starting to see NLU emerging in their day to day lives, helping them answering customers’ requests more easily. For a tool to do that, it must be able to recognize at the same time the customer request and its characteristics, in other words, an intent and named-entities.
