Find the right platform to accelerate your AI journey.
There’s a plethora of tools and platforms to help organizations get machine learning models into production. However, the amount of options can be overwhelming and navigating the trade-offs is difficult. Should we buy or build a platform? When buying, which choices should we consider? What should be the key selection criteria? Just understanding which software to evaluate can be confusing.
According to a VentureBeat report from 2019, 87% of data science projects never make it into production. MLOps software can play a crucial part in making sure the investments in ML don’t go to waste and the models end up where they should: in production, producing value. The Guide to Evaluating MLOps Platforms helps you navigate the space, highlights the trade-offs and shows how to perform an evaluation to choose the best solution for your organization, boost your machine learning initiatives and drive forward your AI-powered products.