Deconstructing Data Science at HERE: Lessons Learned so farby Neal Oman
Head of Data Science
HERE, a Nokia Company
Under new ownership HERE is reinventing itself as the premiere map and location data and analytics company in the world, in which data science is seen as a core competency and critical asset. We already use machine learning across a wide array of varied different use-cases, from applications deep in the HERE map-making infrastructure to supporting personalization beneath our APIs as well as directly in the service of client requirements. As we evolve into consumption and use of location-enriched IoT data at scale, in partnership with our new owners, we expect these different classes of use to diversify further. These different classes of use have widely varying implications on how to manage predictive data science capabilities across them. This talk explores the different use-case classes we’ve encountered at HERE and discusses some approaches to managing them.