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The gap between the expectations and the realities of machine learning is still significant. But gathering feedback and learnings from experts in the field via crowdsourcing permitted an interesting aggregation of best practices, pain points, and things to consider when working on machine learning projects. The findings of the underlying study conducted by Théophile will enable a better valuation, planning, and execution of ML projects.
Théophile de Cazenove just graduated from EPFL with a master’s degree in Management of Technology. He gained experiences in data science at Credit Suisse and Visium and worked on his thesis on machine learning project management and valuation at Swisscom. His findings have been published in a report recently.
Beauty is big business. The global cosmetics products market is expected to reach a value of $806bn by 2023, according to a report by Orbis Research. And artificial intelligence is increasingly playing a greater role in the beauty industry with the new tech ranging from skincare coach facial brushes to a machine learning beauty database.
Estella Benz, CEO of Skin Match Technology Switzerland AG, will share her insights of how tech is changing this industry.
About the speaker ---
Estella Benz is the Co-Founder, Inventor, and CEO of Skin Match Technology Switzerland. Skin Match Technology is her second company in the beauty industry, enabling retail and beauty brands to personalize their customer's beauty shopping experience in delivering honest and relevant product information for each client. Skin Match Technology has won the #forwardbeautychallange of Douglas and is part of the Beauty Tech Atelier of L'Oréal Paris.