Training – when is a model ready for market?
In this section, we will explore the standard process for gathering data to train a model and tune hyperparameters optimally to achieve a certain level of performance and optimization. In the Implementation phase (step 4 of the NPD process), we’re looking for a level of performance that would be considered optimal based on the Define phase (step 2 of the NPD process) before we move to the next phase of Marketing and crafting our message for what success looks like when using our product. A lot must happen in the Implementation phase before we can do that. Some of the key considerations are as follows:
- Data accessibility is the most important factor when it comes to AI/ML products. At first, you might have to start with third-party data, which you’ll have to purchase, or public data that’s freely available or easily scraped. This is why you’ll likely want or need to partner with a few potential...
