Three Barriers to Machine Learning Adoption - insideBIGDATA

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In this special guest feature, Alexander Khaytin, COO for Yandex Data Factory, explains how businesses can introduce "data democracy" and systematic testing and how agility can be introduced into even the most inflexible of organizations, overcoming the barriers prohibiting machine learning adoption and benefit. As Chief Operating Officer at YDF, Alexander oversees projects from concept to completion, alongside contributing to YDF's partnership, sales and technology strategies. Prior to joining Yandex in 2014, Alexander spent over a decade providing consulting and strategic analysis services for businesses in telecom, construction, energy, retail and finance industries. As a Partner at a system integrator, Korus Consulting, from 2011 to 2014, he ran projects for some of Russia's leading brands, including state-owned hi-tech corporation Rostech, Moscow City Telephone Network, mobile broadband services provider and smartphone manufacturer Yota, Bank Saint Petersburg and Russia's largest e-payment system Yandex.Money. Machine learning has come to play an important role for businesses looking to transform the way they work.

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