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最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Preferred Networks: A Deep Learning Startup Powers the Internet of Things
內容大綱
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.