2021 was a year of transition marked by a strong increase in data maturity. This podcast explores trends to be expected in the months to come in regards to accelerating 1P data collection, expanding brands' CDPs and increasingly probabilistic approaches to performance measurement.
For over a year and a half, organizations have undertaken a continuous cycle of innovation and adaptation to meet the changing environment as the pandemic continues to play out. Ghadi Hobeika, CEO of Artefact in the US, provides an overview of seven learnings from the pandemic for the long-term.
10 september 2021 How to choose the right visualizations and implement them in Streamlit to better debug your forecasting models
24 August 2021 All industries aim to manufacture just the right number of products at the right time, but for retailers this issue is particularly critical as they also need to manage perishable inventory efficiently
5 August 2021 Recently, Microsoft joined Apple as the second listed US company (and third in the world, alongside Saudi oil giant Aramco) as a member of the very select $2 trillion club. The fact that US tech giants are dominating the world is not news, but the pace at which they’re crossing significant valuation milestones is. It took less than 18 months for them to move up from $1 trillion to $2 trillion. How is this even possible? What can “legacy” companies take away from this unparalleled economic success?
28 June 2021 Streamlit is a great tool to create beautiful data applications quite easily but when it comes to deploying them and making them accessible, it can be more complicated for non-specialists. In this article we aim at presenting our journey to deploying our application on GCP ensuring a restricted access to specific people. We implemented two solutions: one with Cloud Run, the other with App Engine and we chose to keep App Engine for its ease of securing the application with IAP (Identity-Aware Proxy).
21 June 2021 The potential for transforming data into value through product, service or process innovation is immense, and companies that succeed in doing so outperform their competitors. Yet, only 30% of data-driven transformation projects achieve their objectives, often stumbling on scaling up.
27 May 2021 In this following article of a large series of posts dedicated to demand forecasting, we will focus on how to model promotions, a key driver in sales forecasting, looking at what a typical promo dataset looks like, how features should be crafted, with a step-by-step example in Python, and how complex promotional granularity can be dealt with.
5 May 2021 A step by step guide on how to collect and preprocess satellite imagery data for machine learning algorithms
