The Conference for Machine Learning Innovation

Case Study: Making the Most out of a Doomed Project

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Some projects’ challenges are simply not meant to be solved – just because anything that can go wrong will go wrong. Miscommunications, dataset issues, unreasonably high expectations to name a few – everything will happen. More than that, usually you won’t see it coming until it’s too late. The question is what to do if you are in such a situation, especially when you have a bunch of competitors.

In this talk, we will take a thorough look at such project to cover all the problems the development team came across and discuss what actually matters when the goal seems unreachable.

Behind the Tracks