Lessons learned from deploying Machine Learning in an old-fashioned heavy industry

🔊 Recorded at PyCon DE & PyData Berlin 2024, 24.04.2024
2024.pycon.de/...
🎓 Watch Robert Meyer discuss the challenges and lessons learned from deploying Machine Learning in the heavy industry to accelerate decarbonization, a must-see for aspiring engineers and entrepreneurs.
Speakers:
Robert Meyer
Description:
Robert Meyer, a Data Scientist and CTO at alcemy, shared valuable insights on deploying Machine Learning in the heavy industry of cement production. With the aim to decarbonize the cement and concrete supply chain, alcemy leverages data intelligence and predictive Machine Learning control to optimize production processes. Meyer emphasized the importance of simple, interpretable ML models like random forests over complex architectures, highlighting the necessity of data quality for effective ML outcomes. The challenges of working with customer-provided data, discrepancies between training and real-time inference data, and the significance of understanding customer processes were discussed in detail. Meyer also shed light on the complexities of customer relations in the context of Machine Learning, emphasizing the need for a strong customer success team in addition to skilled ML engineers. Furthermore, he emphasized the differences between Machine Learning as a service and a software as a service business model, underscoring the challenges of onboarding customers and integrating with existing infrastructure in heavy industry. Meyer's talk provided valuable lessons for aspiring ML engineers, Data Scientists, and entrepreneurs interested in real-world applications of Machine Learning in unconventional sectors.
⭐️ About PyCon DE & PyData Berlin:
The PyCon DE & PyData conference unite the Python, AI, and data science communities, offering a unique platform for collaboration and innovation. The PyCon DE & PyData Berlin 2024 conference, hosted in partnership with the local Berlin PyData chapter, provided an exceptional experience, fostering deeper connections within the Python community while showcasing advancements in AI and data science. Attendees enjoyed a diverse and engaging program, solidifying the event as a highlight for Python and AI enthusiasts nationwide.
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• Python Softwareverband e.V.: pysv.org
• NumFOCUS Inc.: numfocus.org
• Pioneers Hub gemeinnützige GmbH: pioneershub.org
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Acknowledgements:
Special thanks to all the volunteers and sponsors who made this event possible.
About:
Python Softwareverband e.V.:
PySV is a non-profit that promotes the use and development of Python in Germany through events, education, and advocacy, fostering an open Python community.
NumFOCUS Inc.
supports open-source scientific computing by providing financial and logistical support to key projects like NumPy and Jupyter, promoting sustainable development and collaboration.
Pioneers Hub gemeinnützige GmbH:
is a non-profit fostering innovation in AI and tech by connecting experts and promoting knowledge exchange through events and collaborative initiatives.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.