
Kevin Stumpf
Co-Founder and CTO
Tecton
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apply(conf) - May '22 - 30 minutes
ML is increasingly making its way into production to power customer-facing applications and business processes. This transition from batch to operational ML raises new organizational challenges. Data scientists and engineers now have to work collaboratively as a single team. This requires adaptation on both sides – combining data science and engineering processes into a well-integrated MLOps machine. Our panel of data scientists will provide their perspective on how data engineers can support this transition and more effectively work with data science teams.
Data Scientist
OLX Group
Alice did a degree in physics, with a final masters project in data science disguised as particle physics. After an accidental year in finance, she found her way into the data science programme at Channel 4, she and another grad went on to build that team from two to twelve. From there she worked at Expedia, and is now the Head of Data Science and Machine Learning at Depop, where the team work across Ranking, Recommendations, Performance Marketing and Trust.
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Interested in trying Tecton? Leave us your information below and we’ll be in touch.
Interested in trying Tecton? Leave us your information below and we’ll be in touch.