ML Infrastructure is complex. Without planning you can end up with a tangled mess of ML infrastructure. MLOps tools and platforms are here to help. But there's so many of them and they're hard to understand. Let's understand the categories and see how to find the best fit for your organisation. We'll make sense of where the cloud providers fit in vs the specialist platforms vs open source. We'll understand the roles and personas involved and how their needs vary. We'll see how to structure an evaluation process and how to leverage open source material to save you from burning huge amounts of research time. [color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][h2][/font][/size][/color][b][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][url=https://github.com/thoughtworks/mlops-platforms]Slides[/url][/font][/size][/color][/b][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][/h2][/font][/size][/color]