#datalift No 3 - Productionize data analytics and machine learning
Event Information
About this Event
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
Leveraging Data to Ensure Food and Agri-commodity Supply Chain Security
- Shravani Basu, Managing Director, SBSF Agritech UG
- Moderated by Elif Shaefer
Learn how a data and ML-based solution supports the diversification of crops globally while ensuring sustainability. In this talk Shravani will set-up the scene with a few examples of applications of AI in Agriculture that SBSF has been devising and focus on our product “CropLocator” highlighting the technology and algorithms in use, and the application of the solution.
Putting Data Analytics in Production for 50 Million Customers. An Insight into Sparkassen-Data Analytics
- Dr. Nevena Palic, Data Scientist at S Rating und Risikosysteme GmbH
- Moderated by Promit Ray
S Rating und Risikosysteme GmbH develops Data Analytics solutions to support financial institutions in Sparkassen Finanzgruppe in customer advisory all over Germany. In this talk, Nevena will give an insight into the work of the Data Analytics department at SR and we will have a closer look into one B2B product affinity score
Paraphrasing in news reporting with deep neural nets
- Sebastian Duerr, Machine Learning Engineer at MIT Center for Collective Intelligence
- Moderated by Macarena Beigier-Bompadre
Learn how you can integrate artificial text generation practices into your organization. Sebastian will demonstrate how the modern transformer architecture T5 is fine-tuned and integrated into Narrativa’s data heavy infrastructure to write versatile articles, for example, newspaper articles for big media outlets, with artificial paraphrasing.
Statistical Health Monitoring of Manufacturing Machines - From Sensors to Insight to Deployment
- Badru Stanicki, Data Scientist & Instructor at Propulsion Academy Zürich
- Moderated by Felix Großmann
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