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- 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
ShotSpotter: AI and the Future of Law Enforcement Technology
內容大綱
ShotSpotter, Inc. is a company that leverages Internet of Things (IoT) technology and Artificial Intelligence (AI) to provide services to police departments. In 2022, ShotSpotter had over 20,000 sensors deployed in over 125 cities to alert customers when gunshots were detected. In addition, a tool known as Connect uses AI to analyze data and predict where crimes might occur during each patrol shift. The case presents the different products that ShotSpotter offers and describes the roles of data, AI, and IoT in developing the capabilities within the products. The case also presents the ethical dilemma in the use of AI and data-driven policing. The case asks students to assess ShotSpotter's capabilities in 2022 and determine what steps senior management should take to enable the continued growth of the company.