學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
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
Stop Tinkering with AI
內容大綱
AI initiatives at many organizations are too small and too tentative. They never get to the only step that can add economic value-being deployed on a large scale. Testing the waters may deliver valuable insights, but it probably won't be enough to achieve true transformation. A pilot program or experiment can take you only so far. The authors have identified 30 companies that have gone all in on AI-and achieved success-as well as 10 actions those companies took to become successful AI adopters: (1) Know what you want to accomplish. (2) Work with an ecosystem of partners. (3) Master analytics. (4) Create a modular, flexible IT architecture. (5) Integrate AI into existing workflows. (6) Build solutions across the organization. (7) Create an AI governance and leadership structure. (8) Develop and staff centers of excellence. (9) Invest continually. (10) Always seek new sources of data. In other words, you need to be aggressive enough with AI that the technology eventually transforms every aspect of your business.