From the course: Customer Service Using AI and Machine Learning (2020)
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Partnering with your engineers and data team to ensure success
From the course: Customer Service Using AI and Machine Learning (2020)
Partnering with your engineers and data team to ensure success
- You have your idea for a great new machine learning or artificial intelligence application. You have funding, you have your team, you have a hypothesis about what data the algorithm will use, and you have your business requirements, probably done in the form of user stories. As the product owner, what are your next steps? Fortunately, they've gotten easier. Your IT partners probably use some variation of an Agile development methodology, which puts you and your needs at the center of the project and checks in with you on the progress they're making in a series of what they likely call sprints. This is a welcome change for nearly any development program, starting with AI and ML. Why is it welcome? Well, traditionally, software has been done using a so-called waterfall approach. This sounded great in theory. You'd write your functional business requirements, technical experts would do the design, developers would…
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