The article further discusses the need for AI solutions to improve over time, as machine learning models can start to make incorrect conclusions as they age. It suggests asking vendors how they keep their models up to date and how they handle model drift. Lastly, the article advises potential customers to consider the technical team behind the product, as this can impact the product's quality and effectiveness.
Key takeaways:
- When evaluating an AI-based solution, it's important to consider if the solution fixes a business problem and if the builders truly understand that problem.
- Data security implications around AI are significant and require built-in security measures that meet or exceed organizational standards.
- AI solutions must be optimized for change over time to keep up with new and valuable data, and to maintain accurate results.
- The technical team behind the product is also a crucial factor to consider when evaluating an AI-based solution.