The way you approach the project must be in a proven methodology.
Need to get the fundamentals right to make a strong foundation.
The development of the AI platform is based on the business needs and AI application should increase the growth of the business.
The technical execution must be having a real proof of concept and making sure it works as you expected.
Skills of the developers has to be identified and the load balances equally in the team.
Analyzing the cost and time frame for the AI project making it more feasible but not compromising the quality of the work.
Module sheets creation and monitoring the team to know the development goes as per the plan.
- Will your AI project deliver a critical differentiator for your business?
- What is more important – cost and time or the differentiation?
- Do you have strong data science skills in-house?
- Is your data science team available to start a new AI project?
If you want your model to be more accurate, consider whether to have your data science team build a custom-tailored solution or to outsource it to a professional partner.