I remember the weighted-ranking matrix emphasized long-term benefits. If enhancing the existing system scored high, that might be the best choice, but I need to double-check the weights.
I keep second-guessing myself on this. I think developing in-house software was favored in some examples, but it really depends on the specific criteria we ranked.
I'm not entirely sure, but I feel like outsourcing could be a good option if the matrix showed cost-effectiveness. We practiced that in our last session.
I think we looked at a similar question in class where we had to choose between enhancing a system or buying new software. I remember that enhancing often had a higher score.
Hmm, I'm a bit unsure about this one. Rewriting the models in TensorFlow and using Cloud ML Engine could be a good option, but that would require a lot of work. I'll need to weigh the pros and cons of each approach.
This seems like a straightforward sale and leaseback transaction. I'll need to think through the accounting entries carefully, but I'm confident I can work this out.
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