Enterprises need to foster open collaboration between business owners, data scientists, machine learning (ML) engineers, and data engineers. The machine learning platform enables these cross-functional teams to build and manage ML projects as part of an efficient, governed, and scalable process. This deep dive profiles three leading products with three different approaches and concludes with questions to help evaluate any ML platform to find the right product for your needs.

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Which best describes your role?

Choose an option Executive: CDO, CAO, CIO or equivalent VP/Director: BI, Analytics, AI/ML, Data Management or equivalent Manager: BI, Analytics, AI/ML, Data Management or equivalent Architect: Data, Analytics, AI/ML, or equivalent Engineer: Data, Analytics, AI/ML, or equivalent Analyst: Data, Analytics, AI/ML, or equivalent Vendor Academic Other

Which best describes the state of data & analytics at your organization?

Choose an option Excellent - We're running on all cylinders! Good - We're showing good results. Ok - We could do better Fair - We can't get out of our own way Novice - We're just getting started Doesn't apply

Why are you interested in this topic?

Choose an option Understand - I'm educating myself and/or my team Plan - I'm proposing or planning a project for my company Implement - I'm implementing a project at my company

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