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.
Watch the recording of our webinar with Ryan Dawson to:
Learn to understand the categories and see how to find the best fit for your organization
Make sense of where the cloud providers, specialist platforms, and open source fit in
Understand the roles and personas involved and how their needs vary
See how to structure an evaluation process and how to leverage open source material to save you from burning huge amounts of research time.