Аннотация
При формировании инновационной политики в области искусственного интеллекта (ИИ), больших данных и интернета вещей (ИВ) немаловажное значение имеют критерии и механизмы отнесения тех или иных технологий к приоритетным. При изучении подходов к такой приоритизации могут применяться две стратегии — приведение структуры и методов исследования в соответствие поставленным вопросам либо «триангуляция» методов анализа, источников данных и подбора экспертов. Исследование предусматривало формирование экспертных панелей, опросы Дельфи и интервью c участием 23 экспертов. Полученные данные были проанализированы с помощью качественных и количественных методов.Наиболее приоритетными для ИИ оказались сервисные инновации, а для ИВ — процессные. Маркетинговые инновации на основе больших данных были определены как наиболее приоритетный тип нетехнологических инноваций. В ходе интервью с 17 экспертами, посвященных обсуждению связки «тип инноваций — технология», респонденты отметили, что все три указанные технологии обладают значительным потенциалом, существенно превосходящим современный уровень. ИИ как «сверхразум» может помочь в создании более индивидуализированных и сложных конвергентных продуктов и нестандартных услуг, в том числе во взаимодействии с клиентами и персоналом компаний. Технологический потенциал больших данных по учету предпочтений заказчиков может помочь в создании маркетинговых инноваций. ИВ позволяет оптимизировать или разрабатывать новые производственные процессы и цепочки поставок, благодаря «гиперподключенности» с точки зрения качества, объема, скорости передачи и охвата информации.
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