Scaling Down Machine Learning MLOps to Meet the Smaller Use Cases

Model after a certain extent are getting commoditized as in there's a bunch of best practice and architecture. Less 1% of better modeling makes you a billion dollar, so people realize that unless your model is mission critical and tied to revenue. And I think there's also reflects different personalities, different choices that companies make to be successful. So at the reasonable scale, as we say, models are important, up to a certain extent,. But after you reach that level of performance, the solvio use cases, they're typically not much of an interest or an ROI in spending another month tuning that or tweaking that.