19 April 2021 Artificial Intelligence (AI) is increasingly becoming part of everyday language of businesses as they look for better, quicker and smarter ways to run. But despite the promise it offers, the majority of initiatives will not deliver business outcomes.
14 April 2021 Demand forecasting is always challenging, we all know that. In this series of articles you will understand the main challenges of developing a complex forecasting model on a real world problem.
30 March 2021 In this second article of the series of two, I will dive into the deployment and the serving of our models at scale.
25 March 2021 How we handled the training and the deployment of our FastAI models using AI Platform — Part I
24 March 2021 When a business comes to depend on the data silos that are hurting it, it’s time for brave leadership and a comprehensive strategy for data, writes Hannes Weissensteiner, Managing Director DACH at Artefact.
17 February 2021 In this Q+A, Dév Rishi Sahani, Nissan’s Global Head of Customer Experience Data Analytics & Reporting, chats with Pascal Coggia, Artefact Partner and UK Managing Director, to explain how the Japanese car giant has accelerated its digital transformation over the last few years and is now using data and BI Hubs to drive operational efficiencies and sales around the world.
3 March 2021 Everyone talks about BERT, GPT-3, XLNet… but did you know that with some simple NLP 101 preprocessing you can already extract valuable insights from your data?
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!
29 January 2021 Formulating a coherent AI strategy, and deploying value-adding and efficient use cases is a struggle for many businesses. Alexandre Thion de la Chaume, Partner, Data Consulting at Artefact, explains how these processes can be streamlined through the AI Factory model.
