Key Insights from a Fluffy AI Vision to a Complete ML-Product

Explore key insights and challenges in transforming a conceptual AI idea into a fully-realized machine learning product in this 29-minute conference talk by Andrea Krogdal, Data Scientist at Eghed. Gain valuable perspectives on implementing an end-to-end solution for predicting volatile steel prices at Stena Stål. Learn about effective combinations of established technical solutions and emerging ML tools like MLflow to create stable, repeatable, and quality-assured machine learning workflows. Discover strategies for engaging stakeholders by mastering the art of explaining ML concepts and optimizing team skills. Benefit from Andrea's 4+ years of experience in data science, covering topics such as clustering driving behaviors, reliability tools, anomaly detection, and predicting future price trends. Recorded at the 2024 GAIA Conference in Gothenburg, Sweden, this talk offers practical insights for data scientists and ML practitioners looking to bridge the gap between AI concepts and real-world applications.