Early Adopters of Artificial Intelligence in Manufacturing to Gain Market Share

AI in manufacturing: adopt early to gain market share

By The Manufacturer

With research suggesting artificial intelligence in manufacturing could become mainstream within 24 months, what can manufacturers gain from taking an early adopter approach? Tom Leeson reports.

With research suggesting artificial intelligence in manufacturing could become mainstream within 24 months, what can manufacturers gain from taking an early adopter approach? Tom Leeson reports.

New digital technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) offer huge potential for manufacturers. With AI and advanced analytics to identify patterns and trends in the wealth of data generated by the IoT, the barriers between operational technology and information technology are breaking down.

Manufacturers are faced with a virtual tsunami of data – amplified by the IoT. It is now estimated that more than 75 billion connected devices will be in operation by 2025, the majority of which will be in the manufacturing sector.

While some manufacturers – particularly those in the automotive sector like BMW and Ford – have been quick to adopt AI, others have taken a more cautious approach. As with most technology, some companies prefer to be a fast follower, not an early adopter – choosing to see successful AI use cases before implementing the solutions themselves.

This caution is understandable. Implementing AI is not a simple process and solid foundations have to be in place. Without digitization and a focus on data quality, it will be virtually impossible to properly apply AI to a process.

Yet companies shouldn’t delay exploring the benefits of AI until after they have fully digitized their processes and harnessed their data.

All images courtesy of Depositphotos