Artificial Intelligence: have Neural Networks won?
Artificial Intelligence (AI) is becoming a hot topic for mass media, despite being born in the 50s. From the beginning it has followed two main directions: the first based on logical / mathematical models following the scientific method initiated by
Circular Economy & Retail
The Circular Economy aims to improve environmental sustainability through processes and products redesign, reuse and recycling at the end of the life cycle, minimizing the consumption of new raw materials and energy. The following picture is part of a diagram
Intelligence at the Edge
Recent architectural trends defined, for example, “Intelligent Edges + Intelligent Cloud” by Microsoft and “Devices & Lambda @ Edge” by Amazon, highlight the benefit of native App inside smartphones, tablets, PCs and industrial devices. Also considering Artificial Intelligence (AI), while
Intelligent Audio in Retail
Digital technology is mature and cheap enough to go beyond InStore Radio. In text-to-speech, “robotic” voices are a memory of the past, and words recognition already matched human accuracy. Now whole sentence understanding is at good level, even if talking
From RFM (Recency, Frequency, Monetary) to Machine Learning
Introduction Traditionally, the clustering of customers and the choice of the most relevant promotions are based on “RFM” parameters. Where R stands for Recency, i.e. how recent the last purchase was, F for Frequency, the number of purchases per month/year
Intelli-tail: Artificial Intelligence for Retail
Introduction The success of eCommerce world leaders, such as Amazon, is due not only to low prices, high quality and convenience of service, but also depends on a special ingredient: Artificial Intelligence (AI). With these techniques, for example, the history
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