100 Experiments (100E) is AI Singapore’s flagship programme to solve industries’ artificial intelligence (AI) problem statements and help them build their own AI teams.
My business unit asked about whether it’s possible to use AI to do root cause analysis.. I looked through some videos, basically, what they are hoping to achieve is something like this: https://www.youtube.com/watch?v=Ru__6gyCT0k&t=1927s
I’m looking to do this thing within Singapore as it’s used by a govt board.. so I would like to seek expert advice here, is it possible? how much work is involved? I can do SK learn, pytorch and tensorflow 2/keras.. but frankly.. don’t think this would require deep learning though.. can the experts advice me?
@lonewolfbsp if you want root cause – you need to understand which features is providing the highest impact/effect, and then you can rank the features by order of importance.
So stick to trees, regression etc – something which you can easily explain.
You can submit a 100E for AISG consideration and if we can assist.
This reply was modified 7 months, 3 weeks ago by laurenceliew.
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