Four questions to ask when scoping out an AI and ML use case – DXC Blogs

While many companies are interested in applying artificial intelligence (AI) and machine learning (ML) to help their businesses transform and innovate, few have an appetite for a lengthy project or a large initial investment. But when companies can see meaningful value in six to eight weeks, they are more likely to expand their usage of AI and ML into new initiatives. To demonstrate the value proposition for AI and ML, we recommend concentrating on unlocking insights from vast amounts of unstructured data to help augment human intelligence, create process efficiencies and lower operational costs. We have also found that the best results tend to come from a business-led/IT supported model. Four key questions are central to scoping out an initial minimal viable product (MVP) for a valid use case.