#datalift No 3 - Productionize data analytics and machine learning

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Experts introduce some of the most important use cases for data analytics and machine learning.

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On a Friday at 11 CET. 60 minutes. 500 seats. Join the experts online in 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 29 January

11.00 Welcome to the #datalift No 3 by Dânia Meira and Dr. Chris Armbruster (AI Guild)

11.05 AI in automotive, and it's potential for intelligent mobility systems

Key interview with Prof. Dr. Torsten Schön, the ex-Audi / VW AI Tech Lead (for the 8000+ employees at Car.SW Org) and Professor for Computer Vision for Intelligent Mobility Systems at Technische Hochschule Ingolstadt.

11.30 Use cases in production

Shravani Basu, Managing Director, SBSF Agritech UG

  • "Leveraging Data to Ensure Food and Agri-commodity Supply Chain Security"

Learn how a data and ML-based solution supports the diversification of crops globally while ensuring sustainability.

Dr. Nevena Palic, Data Scientist at S Rating und Risikosysteme GmbH

  • "Putting Data Analytics in Production for 50 Million Customers. An Insight into Sparkassen-Data Analytics"

Sebastian Duerr, Machine Learning Engineer at MIT Center for Collective Intelligence

  • "Paraphrasing in news reporting with deep neural nets"

Learn how you can integrate artificial text generation practices into your organization through this intuitive use case of fine-tuning Google’s T5 model for paraphrasing and synthetic data creation.

Badru Stanicki, Data Scientist & Instructor at Propulsion Academy Zürich

  • "Statistical Health Monitoring of Manufacturing Machines - From Sensors to Insight to Deployment”

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
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