If it creates long term value, is it truly the wrong tool?
Perhaps we should re-evaluate how and when we use things when presented with evidence that others are getting massive value out of tools we typically would have been biased against.
Is this a personal or business decision you are talking about?
Can you elaborate the cons that made you decide to move away from Python, C++, and Julia?
Julia makes sense to me, as the youngest production language and community.
But Python? It is the #1 most popular programming language globally. C++ is also very popular. This means you can easily find people to hire globally (making business easier and more economical). You can also easily find code doing almost anything you want---speeding up time to value and time to ship.
I'm wondering what cons are driving your decisions to move on from Python and C++?
I used Artifact to do this with my grandfather. Recorded his stories and voice for posterity as a series of podcasts basically with a professional interviewer and recording team.
Not sure if this is close to the problems you want to study, but NASA applied Deep learning to anomaly detection on spacecraft telemetry and has some early results here: https://arxiv.org/pdf/1802.04431.pdf
I'm very interested in anomaly detection problems, so if you find anything good out there do comment back in!
Oh I see, so this might be an "Enterprise in" and that's the "key feature." Not that I should expect a lot more on top of Git + GitLab that isn't already there.
Perhaps we should re-evaluate how and when we use things when presented with evidence that others are getting massive value out of tools we typically would have been biased against.