Fabrizio Fantini

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Data is an unreliable friend, and hardly anything about it is actually scientific. So what, Data Science?

Over the past 5 years, I have interviewed more than 1,000 candidate data scientists for an apparently highly coveted set of jobs at Evo Pricing. …


Evo September Spotlight: Davide Dal Farra. Image credits: Evo Pricing (CC with attribution)

Meet Davide

Evo uses AI to help businesses reduce waste and make better decisions. But our AI doesn’t build itself! The Evo Family helps us design, structure, support, run and improve our AI and its underlying infrastructure to provide the best possible recommendations to our clients.

Because our team is critical in…

Notes from Industry, BUSINESS SCIENCE

Source: Piotr Kononow, Dataedo

Every few years, data science and technical terms enter the business lexicon, only to get popularised, over-hyped, and then retired from popularity. Machine learning, Artificial Intelligence, and so many other technologies are following these patterns. Unfortunately, even the most essential ideas can fall victim to this cycle.

The latest victim…


Photo by David Pupaza on Unsplash

This month, I’ve spent a lot of time at business schools teaching people from non-technical backgrounds about data science, analytics and AI. …

Notes from Industry, BUSINESS SCIENCE

Photo by Jo Szczepanska on Unsplash

Over a year since the start of the Covid-19 pandemic, data scientists are still struggling to get their models back into shape. Every week or so, I see another article lamenting how the disruptions of the past year have negatively impacted machine learning models. …


Photo by NeONBRAND on Unsplash

Over the past year, I’ve had the opportunity to introduce many students to data science. Between teaching an MBA course on Big Data at ESCP and working with students at the Politecnico di Torino to develop an algorithm to forecast trends in fashion as part of a business challenge for…


Markdowns and waste. Photo by John Cameron on Unsplash

Descriptive, predictive and prescriptive: the 3 approaches you can apply to solve any business problem using analytics. For example markdowns.

Markdowns are big: what to do with excess inventory?

Some statistics from my recent piece: over $2 trillion of inventory in the United States alone — $2,040 billion — $1.43…


Photo by Negative Space from Pexels

Everyone, myself included, was so excited to be done with 2020. The Covid-19 pandemic made it a challenging year, and the arrival of vaccines gave us all hope that things would be going back to normal.

A few months in, however, we realize that it will take some time for…


This is the appendix to my other piece:

Note: some charting functions in the support file may require using an optional free Excel add-in for best performance.

Detailed step-by-step workings of the examples provided below and also available in the illustrative support file you can freely download.

Let us assume…


Data has a better idea by Franki Chamaki on Unsplash

Customers can be unpredictable. Hardly anything about them is forecastable correctly. Change approach maybe?

Prediction errors are everywhere. Over the past 15 years, I met and worked with over 1,000 managers to help them make better decisions every day. …

Fabrizio Fantini

The learnings and benefits of the ‘science of billions’: what if you could access more data than Amazon? Free Evo University project: https://evo.ltd/join

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