商品敘述：

Preferred Networks, Inc. (PFN), a start-up specialized in deep learning technologies, a branch of artificial intelligence (AI) research, differentiated itself early on by aligning with Japan''s manufacturing might and bringing deep learning to the internet of things (IoT). The case follows the start-up as it evolves into a highly valued company with over 200 employees and global partners across various industries. It offers an overview of the AI business landscape and an explanation of deep learning. PFN''s trajectory shows how technology-heavy research firms spark innovation, attract business partners and collaborators, manage as they grow, and decide what business model best suits their needs. The case is intended for use in classes on artificial intelligence, technology and operations management, marketing of complex products and technologies, entrepreneurship and strategic partnerships for research-heavy startups.

涵蓋領域：

AI and machine learning;Automation;Competitive strategy;Information systems;Organizational learning;Marketing;Professional networks;R&D;Start-ups;Technology and analytics;Internet of Things;Internet

相關資料：

Case Teaching Note, (IN1633), 8p, by Pavel Kireyev, Theodoros Theos Evgeniou, Nancy J. Brandwein

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