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Because it’s bologna presented from an investor who has a huge bias in favor of their own product. Likely it was teams of data scientists who didn’t see the val
by rndmwlk 7y ago
Because it’s bologna presented from an investor who has a huge bias in favor of their own product. Likely it was teams of data scientists who didn’t see the value add in their software. Having worked in the field, and seen plenty of ML platform pitches, they often promise much more than they can deliver and force data scientists to work in a box they have no desire to be in.
- paulgb 7y agoYeah. I've seen so many vendors attempting to fix the data science workflow appear and disappear in the last decade. I'm not going to waste my time refactoring my workflow to fit some proprietary tool that could no longer exist in six months. Plus these tools are often built with an idealized conception of a data science workflow in mind, and their proprietary nature means that they tend not to be very adaptable/modular.