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Please note:
On this page you will only see the English-language presentations of the conference. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of OOP 2023 Munich correspond to Central European Time (CET).
By clicking on "VORTRAG MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
We will learn more about the latest MLOPs strategies and how to approach application-deployment to production in the manufacturing sector using different cloud native technologies. We will illustrate how the infrastructure, model, and code lifecycle templates constructed by Data Reply reduce the risk, the uncertainty, and the time needed to take a Quality Assurance applications to production, allowing manufacturers to unlock the substantial benefits that these machine learning applications can offer.
- From Ireland
- BSc and MSc in Applied Mathematics & Theoretical Physics, PhD in String Theory
- Employee at Data Reply since 2016
- Selected Projects:
Predictive Maintenance of Combined Heat and Power Plants - Energy
Predictive Maintenance of Wind Turbines - Energy
Time Series Predictive Maintenance - Automotive
- From Egypt
- BSc in Software Engineering, Loughborough University
- Worked for IBM on Big Data Management topics
- Employee at Data Reply since 2020
- Selected Projects:
ML-based Energy Load Forecasting - Energy
ML-based B2B Sales Promotions - Retail
MLOps Platform Setup - Automotive