Moxoff Academy consists of three modules:
I) MAKING INNOVATION, TODAY
The starting module deepens the very meaning of innovation through the role of mathematics and Big Data.
II) METHODS, TOOLS AND APPLICATIONS
This module includes a theoretical part as well as a part dedicated to business cases that Moxoff has dealt with in the past.
The day is divided as follows:
Morning Session: SEMINARS.
Together with internationally renowned researchers and professors from prestigious universities, participants will examine high scientific content.
Machine learning algorithms; optimization methods used to build supervised and unsupervised learning models; Deep Learning for the interpretation of images, videos and texts in natural language; as well as IT infrastructures for Big Data Processing, before addressing the issues of interpretation, analysis and communication of results.
All through an integrated approach to merge this knowledge into one cohesive program.
Afternoon Session: BUSINESS CASES
Moxoff's specialists guide participants into an exploration of real business cases, where mathematical theories have been applied to generate innovation: it is the perfect opportunity to understand how the notions of the morning lessons can be applied to real business problems.
III) ACADEMY LAB: PROJECT WORK & PITCH DAY
Once the first two modules have been completed, we will move on to practice with laboratory activities, the so-called Project Work.
The project work is the course's final session where students can finally get a grip on concrete cases yet to be solved.
Participants must respond to the quests with a math&data-driven approach, obviously supported by Moxoff professionals and Academy teachers.
The course conclusion is then celebrated through the Pitch Day, during which each participant will present their projects to a list of representatives of the Academy's partner companies.