Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?. 2021. [PUMA: seminar vorteile]
Demystifying MLOps and Presenting a Recipe for the Selection of Open-Source Tools. Applied Sciences, (11)192021. [PUMA: seminar tools] URL
Software Engineering for AI-Based Systems: A Survey. ACM Trans. Softw. Eng. Methodol., (31)2:1–59, Association for Computing Machinery, New York, NY, USA, Apr 1, 2022. [PUMA: definition seminar] URL
Strategies for Driving Adoption and Usage with BI and Analytics. 2022. [PUMA: seminar statistik]
AI Best Practice and DataOps. Productionizing AI: How to Deliver AI B2B Solutions with Cloud and Python, 41--74, Apress, Berkeley, CA, 2023. [PUMA: anwendung grundlagen seminar] URL
Compositional AI: the future of Enterprise AI --- towardsdatascience.com. 2021. [PUMA: architektur seminar verbindung]
Bridging DataOps and MLOps --- towardsdatascience.com. 2022. [PUMA: seminar verbindung]
MLOps: Continuous Delivery und Pipelines zur Automatisierung im maschinellen Lernen | Cloud Architecture Center | Google Cloud --- cloud.google.com. 2023. [PUMA: definition grundlagen seminar]
Hidden Technical Debt in Machine Learning Systems. 2015. [PUMA: grundlagen seminar]
MLOps für Unternehmen | Deloitte Deutschland --- www2.deloitte.com. 2022. [PUMA: anwendung seminar]
Business Analytics -- Grundlagen, Methoden und Einsatzpotenziale. HMD Praxis der Wirtschaftsinformatik, (53)3:273--286, Jun 1, 2016. [PUMA: definition grundlagen seminar] URL
Mit DataOps und MLOps zu erfolgreicher KI - Onlineportal von IT Management --- it-daily.net. 2022. [PUMA: definition seminar]
From Ad-Hoc Data Analytics to DataOps. Proceedings of the International Conference on Software and System Processes, 165–174, Association for Computing Machinery, New York, NY, USA, Sep 16, 2020. [PUMA: definition seminar] URL
Machine Learning for Advanced Data Analytics: Challenges, use-cases and best practices to maximize business value. Machine Learning For Advanced Data Analytics: Challenges, Use-Cases And Best Practices To Maximize Business Value, 2019. [PUMA: grundlagen seminar] URL
A reference architecture for the operationalization of machine learning models in manufacturing. Procedia CIRP, (115):130--135, Elsevier BV, 2022. [PUMA: anwendung seminar] URL
What is DataOps? collaborative, cross-functional analytics. CIO, December 2022. [PUMA: definition seminar] URL
MLOps vs. devops: What are the similarities and differences?. CIO Insight, February 2023. [PUMA: seminar vergleich] URL
Best practices for data management using DataOps. eWEEK, February 2021. [PUMA: anwendung seminar] URL
3 steps for successfully implementing industrial DataOps. Cognite I The #1 Industrial DataOps Platform, Cognite ASA, November 2022. [PUMA: anwendung seminar] URL
Google cloud brandvoice: Why MLOps is critical to the future of your business. Forbes, Forbes Magazine, July 2021. [PUMA: anwendung seminar] URL