Data Science Best Practices and Smart Manufacturing with Domino Data Lab

This event is hosted by Pirelli and sponsored by Domino Data Lab.

We will focus on lessons learnt by advanced data science organizations such as the Smart Manufacturing use case of Pirelli. The core of event is showing how the Domino Data Lab platform can help those organizations on making reproducible analysis, collaborative working and building high quality data products.

The event is held in english.

At the end of the talks we will have a guided visit of the Contemporary Art Museum of the HangarBicocca.

Agenda: 

18:00 Doors opening

18:30 Data Science Milan Opening

18:45 Tech talks

20:15 Guided tour of the Museum

21:00 Networking Aperitivo

22:00 Venue closing

“Data Science in Pirelli” by Carlo Torniai, Head of Data Science & Analytics, Pirelli (pirelli.com)

Abstract:

Brief introduction to the central role of the Data Science & Analytics department in Pirelli.

Bio:

Carlo is the  Head of Data Science and Analysts at Pirelli.Carlo holds a PhD in Informatics  and Multimedia from University of Florence. Prior to Pirelli Carlo lead the Product Excellence Data Science team at Tesla Motors in Palo Alto, and prior to that he was Assistant Professor and research Lead at Oregon Health and Science University, leading  research projects on genomic data and undiagnosed diseases.At Pirelli Carlo and his team are the forefront of Digital Transformation by driving the implementation of infrastructure, tools and algorithms that enable the deployment of analytics and machine learning solutions supporting diverse and ever growing business needs, while creating a strong data driven culture across the company.

“Lessons Learned from advanced data science organizations” by Nick Elprin, CEO, Domino Data Lab (dominodatalab.com)

Abstract:
Nick will share some of his lessons learned from working with advanced data science organizations.

Bio:

Before starting Domino, Nick was a senior technologist and technology manager at Bridgewater Associates, where he managed a team that designed, developed, and delivered Bridgewater’s next generation research platform. He has a BA and MS from Harvard College in computer science.

“How Pirelli uses Domino and Plotly for Smart Manufacturing” by Alberto Arrigoni, Senior Data Scientist, Pirelli (pirelli.com)

Abstract:

Pirelli, a global performance tire manufacturer, uses data science in its 20 factories to improve quality and efficiency, and reduce energy consumption. For this “Smart Manufacturing” initiative, Pirelli’s data science team has developed predictive models and analytics tools to monitor processes, machines and materials on the factory floors. In this talk we will show some of the solutions we deploy, demonstrate how we used Domino’s data science platform and Plot.ly to build these solutions, and discuss the next steps in this journey towards predictive maintenance.

Bio:

Alberto Arrigoni is a data scientist at Pirelli, where he works to process sensors and telemetry data for IoT, Smart Factories and connected-vehicle applications.
He works closely with all major business units such as R&D, industrial engineering and BI to develop tailored machine learning algorithms and production systems.
He holds a PhD in biostatistics from the University of Milan Bicocca and prior to joining Pirelli was a staff data scientist at the National Institute of Molecular Genetics (Milan), as well as a Fulbright student at the Santa Clara University and visiting PhD student at Pacific Biosciences (Menlo Park, CA).

If you are interested in doing a lightning talk or want to propose an event, hackathon, panel discussion, roundtable or any sort of initiative please submit your proposal at Call for speakers or get in touch with one of the member of the staff.

About the host and sponsor:

Domino Data Lab

We’re building the platform that enables thousands of data scientists to develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next. Data scientists are being called upon to solve ever more complex problems across every facet of business and civil life. Domino allows them to develop and deploy ideas faster with collaborative, reusable, reproducible analysis. Domino is backed by leading venture capital firms, including Coatue Management, Sequoia, Zetta Venture Partners, Bloomberg Beta, and In-Q-Tel.

Pirelli HangarBicocca

Pirelli HangarBicocca is a non-profit foundation, established in 2004, which has converted a former industrial plant in Milan into an institution for producing and promoting contemporary art. This dynamic center for experimentation and discovery covers 15,000 square meters, making it one of the largest contiguous exhibition spaces in Europe. It presents major solo shows every year by Italian and international artists, with each project conceived to work in close relation to the architecture of the complex, and explored in depth through a calendar of parallel events. Admission to the space and the shows is completely free of charge, and facilitators are on hand to help the public connect with the art. Since 2013, Vicente Todolí has been the foundation’s Artistic Director.
The complex, which once housed a locomotive factory, includes an area for public services and educational activities, and three exhibition spaces whose original twentieth-century architectural features have been left clearly visible: Shed, Navate, and Cubo. As well as its exhibitions program and cultural events, Pirelli HangarBicocca also permanently houses one of Anselm Kiefer’s most important site-specific works, The Seven Heavenly Palaces 2004-2015, commissioned for the opening of Pirelli HangarBicocca.

Author: Gianmario Spacagna

I believe AI holds the potential to be a major driver of economic growth and social progress. Data Scientist and Community Builder.

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