Full program for #datalift No 2
Key interview: Dr. François SIllion, Director, Uber ACTP
François Sillion is the director of Uber’s Advanced Technologies Center in Paris, focusing on applications to air transport. Uber Elevate’s vision includes machine learning, airspace management, sensing & perception, autonomous control, energy management, and communication networks. Earlier, François was a senior research and director at INRIA. His work has >9500 citations and he has an H-index of 48.
Use cases in production
Use Case 1 Rachel Berryman, Data Scientist, AI Center of Excellence, Elia Group
"Deploying the first Neural Network in energy transmission service: The Elia Group TSO use case"
How the Elia Group managed to, in less than half a year, deploy a neural network for predicting grid losses that saved 1% in grid loss cost cover in the first year in production.
Use Case 2 Dr. Sebastian Rose, Senior Data Scientist, MYTOYS GROUP
"Machine learning in production: The MYTOYS product list sorting algorithm"
Use Case 3 Markus Hinsche, Senior ML Engineer, Freelance (for Welthungerhilfe)
"Zero Hunger by 2030! How anthropometric measurement helps make the dream a reality."
How to detect malnutrition in children by using smartphone sensors and machine learning.
Use Case 4 Mahmoud AbdelAziz, Founder & CEO, DevisionX
“TUBA AI Machine Vision enabling tool: Label, Train, Integrate”
AI-Machine Vision Quality Inspection Solutions for Manufacturers without Coding, without AI experience by Using TUBA enabling tool: Label, Train, Integrate That's it!