Build 🔨, buy 💰 or partner 🤝: who should develop my ML solution?
Once you have a solid machine learning (ML) idea or question, how do you decide who is going to build and deploy the model? There are three paths an organization can choose from when deciding who should develop their ML solution: building one in-house, buying an off-the-shelf solution from an existing vendor, or partnering with a vendor to build one. Get to know the pros and cons for each in this month's article from AMII:
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