Does my organization need automated ML?

Technology decision-makers and stakeholders don't like fads, and you probably shouldn't either. Building and using technology for the sake of technology has limited business value in a vertical enterprise; the technology has to solve a business problem or provide an innovative differentiation to be relevant. Therefore, this inquiry becomes very significant: does an organization really need automated ML or is it just one of those steps in the AI and ML maturity cycle that we can live without? Would this investment result in Return on Investment (ROI), or would it become one of those unused platforms that sounded like a good idea at the time?

Let's try to answer these questions by looking at the value proposition of automated ML and see whether it makes a good fit for your organization. As a technology stakeholder, envision yourself as someone trying to build an enterprise AI playbook and deciding whether to invest in and utilize...