I am just starting with a cloud-related project and am thinking that there are at least some aspects of what we're doing that might be tackled using AI-based tools. Do you have any tips on what to look for when sussing out a problem to see if AI is a suitable approach?
For solving many real-world problems, this approach makes sense. Step one would be to look at the provider of the APIs. If they are leaders in the space: Amazon, Microsoft and Google in that order, then they are safe choice to build solutions on top of: https://www.zdnet.com/article/google-cloud-platform-breaks-into-leader-category-in-gartners-magic-quadrant/. Then try out the AI API or service, like say, Google AutoML or Amazon Rekognition. If it solves the problem for your needs, your done, if not, try another company, if that doesn't work then train the model yourself, and use a managed service like AWS Sagemaker.
This is the way I think, and believe for 80-90% of people working in AI, they will be served best by the greedy approach.
Gary W. Lucas
posted 9 months ago
Thanks. I like your metaphor. In this case, it strikes me as being excellent advice.