In 2006, I was part of a Reverse Logistics team at Microsoft working on the launch of a new product, the Zune—a competitor to the iPod. The Zune was somewhat boxy and heavy. At first glance, it was clear that the iPod and Zune were worlds apart. Despite tight deadlines for setting up the supply chain and tracking every aspect, we all know the Zune's life ended by 2012.
Choosing the right use case is crucial; Zune vs. iPod is a classic example. It's not only about applying AI but also about selecting the right use cases that bring tangible benefits and align with our business strategy.
Courses may teach us the fundamentals, like LEGO blocks, but the same challenges persist today in terms of supply chain visibility and customer experience. Choose the right use case, invest time in understanding your data and domain. Out of the several applicable AI use cases within domain context, focus on those that hold relevance to your business needs, domain, data, to derive real value.
Copycat use cases will not work unless they are relevant and meaningful for your business.
Stay observant of industry trends, and align your AI initiatives with your strategic goals.
#AI #Strategy #Innovation #TechHistory #Business #Data #ProductDevelopment #Microsoft #Zune #iPod #DataScience #GenAI
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