Visually driven data science and analytics - in Formula 1 and beyond
Edinburgh
Synopsis
Learn how the Mercedes-AMG Petronas Formula One Team partners with TIBCO to analyse, simulate, optimise and predict all aspects from the car's design and development, to the race-day set-up and strategy.
Behind this is a visually driven data science and analytics methodology that empowers people to interact with live data and models, ensuring their domain expertise is maximised in an augmented analytics approach.
This talk will include a live demonstration of this methodology using data from TIBCO's very own F1 simulator where we will cover every step of the data science life cycle from data gathering all the way to model explainability and deployment, embracing technologies such as Python.
Speaker Bio
Colin Gray, Senior Lead Data Scientist, TIBCO
With 20 years of experience in data science and analytics, Colin has worked in multiple industries covering a wide breadth of business needs. Throughout this time he has led data analysis and modeling projects, development of methods to make better use of data with a key focus on how to better communicate data and any action derived from data science. As a part of the TIBCO data science team, Colin actively works with customers to pursue this goal covering industries such as retail, finance, energy, health, and in particular, motorsport with the Mercedes-AMG Petronas Formula One team
Location:
Bayes Centre, The University of Edinburgh, 47 Potterrow, Edinburgh, EH8 9BT
Agenda
6:00 PM – 6.30 PM: Networking (Drinks & Pizza)
6:30PM - 7:30PM Colin Gray, Senior Lead Data Scientist @ TIBCO - Visually driven data science and analytics in Formula 1 and beyond
7.30 PM - 8.30 PM: Networking and Drinks
