A lot depends on the idea itself I guess. But building AI software is still challenging, not least because of the rapid advances in technology. Like Alice from the well-known fairy tale, you have to run twice as fast to get where you want and keep up with progress. Still, I would rather recommend tto create artificial intelligence software with some trusted company. You see, I used to hire this team of experts and should say that the results matched all my expectations. If you are looking for some reliable partner and great results, simply give them a call. All the best
Like a lot of things, the answer is “it depends”. If we take deep learning as an example of an increasingly popular A.I. workload, building an AI system for deep learning training on your datasets is largely a function of the resources, expertise and amount of infrastructure you have readily accessible. For example, the system you might employ as an independent developer, or as a researcher in a smaller setting, would look considerably different from what you would need to support a larger organization’s efforts to “A.I.-enable” their business interactions with customers, or improve the quality of clinical care, or detect fraud in a voluminous flow of financial transaction data. Ultimately this becomes of question of whether you design and build your own system, or employ a purpose-built solution for your problem.