With the rise of MLOps, the market for machine learning platforms is also growing rapidly and is predicted to reach $126.1 billion by 2025. As the number of tools available grows, how do you go about picking the right tool for your business?
Our first, 2021 Guide to MLOps, covers what “good” MLOps looks like, and how to make your AI workloads faster, scalable, and more efficient.
In this guide, we take a deep dive into each key stage of the ML model lifecycle, understanding the pros and cons of the available tools, such as Vertex AI, Cloud Composer, Dataflow, Cloud Run, and more.
This guide will help you:
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.