The pressure is on to build a more agile business – with the supply chain becoming more complex as a result. Artificial intelligence (AI) promises to streamline that complexity, but how can you separate real value from hype?
Artificial intelligence (AI) has become a buzzword used liberally by all vendors — with good reason. The drive to create agile and resilient businesses is causing today’s leaders to ask more and more of their supply chains and making them hundreds or thousands of times more complex. This complexity necessitates a new approach in which AI plays an important role. Yet the qualities that determine the success of AI technology are often hidden behind a blitz of marketing language.
This buyer’s guide explores the truth beyond the hype. Topics include the three main categories of AI available, why not everything vendors market as AI actually is AI and the importance of embedded AI for supply chain applications. Use cases for supervised, unsupervised and reinforcement machine learning provide a practical foundation for understanding AI’s versatility and value in supply chain.
Get the truth in our buyer’s guide, a roadmap to understanding what constitutes AI and how to use it to your advantage in supply chain applications. Learn about the combined value of data and AI, explore use cases, and gather insights and best practices. No matter the stage of your supply chain journey, we can help you add value with AI.
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