What do theoretical physics and Microsoft integration monitoring have in common?

November 20 2018

Alessandra Cagnazzo is a Data Scientist at AIMS, but she sure didn't start there. She has a PhD in Theoretical Physics from the same university where Galileo Galilei taught, and is pouring all of her knowledge and experience into developing advanced machine learning algorithms. In this video, she explains how theoretical physics relates to integration monitoring.

 

 

Video transcript

My name is Alessandra Cagnazzo and I joined AIMS as a Data Scientist, after several years of research in academic institutions and universities around Europe.

I am a theoretical physicist, but I moved into the field of machine learning.

In fact, many concepts and mathematical paradigms that are at the base of machine learning are common to the word of mathematical physics.

I now want to put all my knowledge and my experience into writing good algorithms – good machine learning algorithms – to monitor integrations.

In fact, machine learning is an extremely good tool if you want to analyze enormous amounts of data and therefore can be extremely useful in monitoring complex integrations.

The Futureproof Guide for Microsoft Integrations

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