5 Factors to Consider Before Training Your Own Artificial Intelligence Model
Developing your own Artificial Intelligence (AI) model is a significant step that can enhance an organization’s capabilities and help in competing more effectively in the market. However, before embarking on this process, there are key considerations to carefully evaluate, to ensure that the investment and AI development are worthwhile and meet genuine needs. The Problem to Be Solved AI development should start with a clear identification of the problem to be solved. It is essential to know the purpose of creating the AI model. For instance, existing market models may not sufficiently meet business needs, there might be concerns about data security, or there could be extremely high usage that makes existing services impractical. Analyzing the problem is a crucial step to ensure that the developed AI effectively addresses these issues. Availability of Data Data is the heart of training AI models. If the problem to be solved involves making the model
