Productionize data analytics and machine learning

Join 500+ experts discussing the deployment of data analytics and machine learning. Hear how you can scale out of the recession with the data economy. Benefit from the AI Guild team effort showing use cases in production.

Program for 27 November

11.00 Welcome to the #datalift No 2 by Dânia Meira and Dr. Chris Armbruster (AI Guild)

Key interview: Dr. Francçois 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 case in production

Use Case 1 Dr. Sebastian Rose Data Scientist, MYTOYS GROUP

• "Machine learning in production: The MYTOYS product list sorting algorithm"

More use cases to be announced.

Target audience

• Your company is holding and generating data for which use cases can be developed immediately
• Your company is data-driven and you want to productionize at scale, possibly with an end-to-end ML platform
• You would like to understand how government, parliament, and the public hand best supports the data economy at scale
• You are a data talent looking to understand how the ecosystem is advancing and what your opportunities are

#datalift benefits for corporates and startups

• Simple use cases are solved immediately by the first cohort
• A virtuous circle of deployment and learning over 1-2 years
• Scale in-house expertise for deployment across the entire enterprise