Workshop / Overview

We’re observing the natural convergence of Big Data with Machine Learning and AI, and while these technologies keep evolving, one key point remains crucial: how to realize a successful data-driven project maximizing the resources and business value you can obtain.

During the workshop you’ll learn how to overcome this issue using the Data Ring, a management tool created specifically for data-driven projects. After an introduction and a discussion of successful cases of its application, you’ll be guided to experience it first hand.

You're welcome to participate with your team if you're already involved in a project or if you want to propose new ones within your business.

Data Ring is a open canvas developed by Christian Racca and Leonardo Camiciotti and released publicly under Creative Commons license.

AGENDA
1) Workshop introduction
2) Our perspective on Machine Learning open challenges
3) Data Ring explanation
4) Interactive session: people will be divided in groups and will be asked to fill the canvas using given use-cases
5) Wrap-up

RESOURCES
Feel free to access the canvas and the use-cases in advance here.
Introductory presentation will be shared after the event.

Workshop / Outcome

After the workshop you'll know how to use the Data Ring tool in order to start building your machine learning / data-driven project with a complete awareness of your resources in your team (or new skills that need to be improved or integrated) and clear vision of the process to make it real.

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

  • no specific technical skills are requested to the participants

Track / Co-organizers

Stefania Delprete

Data scientist, TOP-IX

Christian Racca

Design Engineer, TOP-IX

AMLD EPFL 2018 / Workshops

TensorFlow Basics 2018 – Sunday

With Bartek Wołowiec, Ruslan Habalov & Andreas Steiner

09:00-12:00 January 281BC

TensorFlow Basics 2018 – Saturday

With Bartek Wołowiec, Ruslan Habalov & Andreas Steiner

09:00-12:00 January 274ABC

Financial Predictions with Machine Learning

With Stefano Tempesta

13:30-16:30 January 275BC

AMLD / Global partners