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As the hype around data science, machine learning, and AI continues to grow, more organizations are feeling the pressure to implement advanced data solutions or risk falling behind the curve.
But how to choose the right project? Should it be a trendy, consumer-facing solution such as a chatbot or virtual assistant? Or is it better to focus on embedded, back-of-the-house projects that improve internal operations or decision-making?
The short answer is it all depends on your needs.
Download this white paper to discover what defines a successful AI project, 6 considerations before you start, and a framework for choosing the right use cases.