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Hey @Tim Liu! Thanks for the question 🙂 I actually think more and more of the best-of-breed platforms are going to gaining larger traction! In the software toolchain, best of breed tools won. Github won the software versioning control market, and there are strong contenders like WandB as a parallel in the MLOps Space. Datadog really did win the infra observability category, and that is where Arize sits in as a parallel in MLOps space - ML Observability. I’ve also been noticing more of the end to end platforms are focused on less technical users, but still empowering these citizen data scientists to use ML. More of the deep technical ML practitioners will prefer solutions that can plug and play into their stack with deep abilities to configure.