2nd and 3rd February 2017

Christophe Drelon
Groupe Renault France

Twitter: @carlotorniai
Linkedin: christophed

Carlo Torniai, Pirelli, Italy

Head of Data Science and Analytics
Data Scientist with more than 10 years of experience ranging across areas of Computer Science and Information Technology. Spearheaded Data Science within Product Excellence Organization at Tesla Motors (CA, USA). Deployed infrastructure and developed tools and best practices for filed data analysis. Extensive expertise in data modeling and analysis, utilizing machine learning, Python, R and Linked Data to integrate and analyze large datasets. Very knowledgeable in Semantic Web technologies in the context data integration and data mining. 

Carlo is going to present about his experience of moving from a traditional BI to more sophisticated analytics.


Transition from BI analytics to Data Science – lessons learned

More and more companies are trying to transition from doing traditional BI/Analytics to “Data

Science”. We describe how we made that transition at Pirelli — standing up a cross-functional data

science team that has delivered key insights — in less than a year. We describe challenges and

lessons learned about business alignment, cultural changes, hiring, organizational changes, and

technical infrastructure.