AI in manufacturing is stalled by lack of data infrastructure and internal buy-in

According to Gartner, artificial intelligence is still in the early phases of the hype cycle. Among the 37 types of AI on its chart, only speech recognition and GPU accelerators have reached the plateau of productivity. Despite the fact that many AI technologies are too new for mainstream adoption, manufacturing leaders are already stuck in a rut with these projects, according to a new survey from Plutoshift. Plutoshift found that manufacturing professionals are having trouble with almost every aspect of AI projects from defining realistic outcomes and collecting data to getting internal buy-in. The Gartner Hype Cycle for Artificial Intelligence 2019 examines the stream of innovations and trends in the AI sector and scopes AI plans.