Before jumping into the AI bandwagon, please ask yourself these three questions:
- Is your task data driven?
- Do you have suitable and sufficient data to support an AI-driven solution?
- Do you have an understanding of how AI works?
Try to avoid tasks with too many variables and potential outcomes.
关于目标的制定上
My recommendation is to always spend time defining the goal. What are you trying to achieve and why?
it is mandatory that your “AI solution has built-in feedback loops so that predictions and outputs from the AI can be corrected by those employees overseeing operations.
For your AI needs, three basic options have emerged:
- Use an AI-aaS solution such as Amazon AI (Rekognition), Google Cloud Vision or IBM Watson. They offer a narrow range of AI functions, mostly enabled via APIs for text and image recognition.
- Collaborate with third-party applied AI companies that specialize in a broader and more customized range of vertical AI services.
- Create your own machine learning system from scratch, using your own team and data. This is the most complicated option and is primarily for multinational companies or/and organizations where AI is essential to their core value and revenue.
从第三方的经验中去学习，