You know that you would like to implement AI, and you may be wondering how to proceed. The pitfalls are many: improper data collection, using sub-optimal algorithms that will work yet not to state-of-the-art standards, using too complex algorithms that are costly to implement and run, using the wrong infrastructure, using an inappropriate software architecture resulting in unreliablities and high maintenance costs.
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