As hype around data science, machine learning, and AI continues to grow, more and more organizations are feeling the pressure to modernize their business by implementing advanced data solutions or else risk falling behind the technology curve.
But how to choose the right project? Should it be a trendy, consumer-facing solution such as a chatbot, virtual assistant, or computer vision application? Or is it better to focus on embedded, back-of-the-house projects that quietly help to improve internal operations, employee efficiency, or decision-making?
This white paper will go through each of these considerations in detail and provide examples, strategies, and follow-up questions to help guide the selection of AI use cases that will ultimately bring business value.