Fabrizio Fantini

BUSINESS SCIENCE

Photo by panumas nikhomkhai from Pexels

There are 5 cases in which you may want to go bare(-metal) with your mission-critical data projects

Data Science on the cloud?

Cloud computing services are the future of data science, according to just about everyone. To suggest otherwise is practically blasphemy these days — and yet this mindset comes with some serious downsides. …

BUSINESS SCIENCE

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…

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. …

BUSINESS SCIENCE

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…

BUSINESS SCIENCE

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…

Step-by-step

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…

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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