From the course: AI Product Foundations: Planning Strategies for Data Scientists
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Start with users
From the course: AI Product Foundations: Planning Strategies for Data Scientists
Start with users
- Data scientists love technical solutions. They are, after all, why we got into the field. But often we can forget that there's a user that interacts with AI and its outputs. If you want to build an AI product, you have to think about the users first. What does that mean? First, you think about needs. You'll need to work with product managers to clearly understand the specific needs of your users. Great AI products enhance business needs and satisfy customer needs. No two AI products are alike. Even if the technology is similar, different user needs will shape different products. Work with product managers to identify these needs early. Then, prioritize the most critical ones first. By aligning on priorities, you can ensure the product delivers the most value. This will help you find the right datasets for an AI product. For example, if you're building a recommendation engine, focus on the most impactful customer, e-commerce, and website datasets for training. Don't try to use every…
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