Bridging the Gap: From Analytical Models to Operational Success [PyCon DE & PyData Berlin 2024]

🔊 Recorded at PyCon DE & PyData Berlin 2024, 22.04.2024
2024.pycon.de/...
🎓 Watch as industry experts discuss bridging the gap between analytical models and operational success, sharing strategies to tackle challenges in deploying machine learning models and ensuring a smooth transition from analytics to production.
Speakers:
Ignacio Vergara, Nick Harmening
Description:
Ignacio Vergara and Nick Harmening, a Software Engineer at QuantCo who previously worked at BMW Group, presented a compelling talk on bridging the gap between analytical models and operational success when deploying machine learning models in production. They highlighted the challenges arising from differing objectives, technological constraints, business needs, and regulatory requirements.
The focus was on the handover process from analytics to production, emphasizing the complexities involved in tasks like model packaging, inference reproducibility, identifying deployable components, and executing deployment-related actions. The speakers shared insights on establishing contracts, interfaces, and responsibilities between modeling and production teams, as well as the crucial role of automation in ensuring a seamless transition of models for deployment.
Their experiences and strategies shed light on the importance of understanding the post-training phases for data scientists, providing operations specialists with tools to enhance success rates, and offering product owners a framework for driving alignment throughout the model deployment process. The talk aimed to spark engaging discussions among data scientists, operations specialists, and product owners for a more collaborative and efficient approach to deploying analytical models successfully.
⭐️ 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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Links:
• Conference website: pycon.de
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The conference is organized by
• Python Softwareverband e.V.: pysv.org
• NumFOCUS Inc.: numfocus.org
• Pioneers Hub gemeinnützige GmbH: pioneershub.org
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#Python #PyConDE #PyData #OpenSource #AI #DataScience #MachineLearning #SoftwareDevelopment #LLMs #Community
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.