When trying to solve any problem with AI, it’s important to consider guidelines, resources, tools, and partners that can help bring such a solution to life. In a Fast Company article, Jeff Mills, Chief Revenue Officer at iMerit recommends steps to keep in mind while adding AI solutions to business operations.
Here are 3 key takeaways from the article:
- Once you’ve identified the problem you’re solving, the use cases for your AI solutions, and the outcomes you’d like to see, the next step is gathering a dataset for the model to use. Data preparation would involve profiling, sourcing, integrating, cleansing and preparing the data for learning.
- Leveraging AI consultants in implementing and modeling can help your business determine your solution requirements and greatly speed up your time to production. As you work with your partners and determine the right tools to help you build your prototype, it’s important to note that there isn’t a single tool or dataset that will solve the problem.
- At some point in your development process, you will require the support of human intelligence experts. This can look different for every solution, so it is crucial to understand when human intelligence plays a role in order to get ahead of staffing requirements and meet your project deadlines.
Read the complete article here: 5 steps to building and implementing AI solutions
