Closing the Data Debt in Industrial AI - How to Convert Data Spaghetti to High Quality Data Sets and Start Delivering Impact

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WEBINAR DESCRIPTION:

In this webinar, we will explore the challenges of industrial analytics, and how you can overcome your data debt with a targeted data collection and preparation strategy. We will also discuss the value of a high quality data set and how investing a little time on this can reap major rewards for engineers looking to understand and monitor their equipment behaviour.

Learning Takeaways:

The unique challenges of industrial data, strategies to improve your data collection and data labeling, how data labeling yields improved insight

ABOUT THE PRESENTER

An engineer turned data scientist, Alexandra finds her passion in bridging the gap between engineers and data science. With a dual master’s in Biomedical Engineering and Computational Methods (RWTH Aachen, Universiteit Gent), Alexandra started her career in Paris as an engineer developing physical simulations for military applications, before moving to Norway where she developed simulations to evaluate subsea equipment and structural integrity for the oil&gas sector. She transitioned to data science in 2016 and was Chief Data Scientist at a Scandinavian consulting firm before co-founding Unifai.