Mastering AI in manufacturing: From understanding to implementation

According to a recent whitepaper by PwC, only 9% of manufacturing companies have implemented AI processes to improve operational decision-making. That same study goes into detail about the reasons behind this slow adoption. Despite being hailed as a game changing technology, the business world is confronted with a complex, system wide challenge. Implementing artificial intelligence at scale is resource intensive and requires a deep level of technical expertise and strong leadership commitment. In follow up to my previous blog Understanding how AI ‘thinks’, this time we’ll take at 4 key ideas for mastering AI in manufacturing. Understanding what AI is…