Industrial AI prepares for the mainstream – How asset-intensive businesses can get themselves ready

The focus on developing, embedding, and deploying machine learning (ML) algorithms as fit-for-purpose, domain-specific industrial applications, is bearing fruit as business drivers capable of delivering sustainable value for asset-intensive organisations emerge. Here we look at these drivers and assess what asset-intensive organisations need to do to prepare for the age of industrial AI. First, industrial organisations will start focusing on how AI can be applied to address domain-specific industrial challenges. Second, the barrier to AI adoption will be lowered, as a lack of in-house AI expertise among industrial organisations has historically blocked Industrial AI enablement. More organisations will deploy targeted, embedded Industrial AI applications combining data science and AI with purpose-built software and domain expertise.