Sounds like a great opportunity to provide value and charge accordingly.
Baking off-the-shelf anomaly detection into the hammer QA process might seem easy and “not true AI” to us, but it solves their problem. Maybe you can even educate them in the process, and explain the differences between AI, ML, DL, different use cases and methods, libraries, etc. I suspect, though, they won’t care because they just want to hit their business goals.
Baking off-the-shelf anomaly detection into the hammer QA process might seem easy and “not true AI” to us, but it solves their problem. Maybe you can even educate them in the process, and explain the differences between AI, ML, DL, different use cases and methods, libraries, etc. I suspect, though, they won’t care because they just want to hit their business goals.