Note: this event will be Livestreamed.
Metis and Dataiku join to host two talks on user-focused data science and building a more comprehensive view of what individuals really want.
While virtual assistants have never sounded more human and as cars become driverless, companies still have to deal with a massive amount of mail. From unsolicited mail and bills to registered mail, mail processing solutions are a necessity. In an effort to bring AI to mail processing, we will present a prototype we've developed for a client in the insurance industry. Using Computer Vision and Deep Learning techniques, it automatically processes typed and hand-written letters to send them to the correct department within the organization.
Yannis Ghazouani is a French engineer and holds a Master’s degree in Applied Mathematics from Centrale Lille. After several research internships in Machine Learning, he joined Dataiku in 2016 and has been developing solutions for predictive maintenance, personalized ranking systems and Deep Learning image applications for a range of Dataiku’s customers in the Industry, Bank/Insurance and e-business sectors.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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