We’re proud to announce the new TWIML Solutions Guide, a directory of machine learning tools and platform technologies for data scientists, ML engin

Introducing TWIML’s New ML and AI Solutions Guide

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2021-06-17 20:30:05

We’re proud to announce the new TWIML Solutions Guide, a directory of machine learning tools and platform technologies for data scientists, ML engineers and other AI practitioners and leaders. The Guide aims to help them explore and compare open source and commercial offerings for building, delivering, and improving their ML and AI projects.

“It’s our belief that effective platforms are key to delivering ML and AI at scale. These platforms support data science and ML engineering teams by allowing them to innovate more quickly and consistently. “

One of our first efforts at visualizing the ML platforms and infrastructure space in one place appeared in the first edition of Kubernetes for MLOps. At the time it included nearly 60 products, most of which weren’t even ML specific.

When we revised the Kubernetes ebook a year ago, it became clear how much of a challenge it would be to capture a rapidly growing ecosystem in a relatively static diagram. At that point we set out to produce the Solutions Guide and never looked back.

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