Artificial Intelligence/Machine Learning Use Cases in Asia/Pacific (Excluding Japan) Manufacturing

Artificial Intelligence/Machine Learning Use Cases in Asia/Pacific (Excluding Japan) Manufacturing

  • April 2021 •
  • 7 pages •
  • Report ID: 6067942 •
  • Format: PDF
According to IDC's IT Spending Guide, artificial intelligence (AI)-driven quality management and recommendation systems account for over 35% of the overall IT spend. This indicates a clear skew toward technology investments that rely on improving and gaining operational efficiencies. To gain these advantages, organizations must first identify the niche use cases, which typically do not come on the business radars. This IDC Perspective talks about some key use cases having a high potential to scale and automate by weaving in cognitive and contextual elements supported by self-learning routines."The understanding and application of AI technologies in the manufacturing space is quite limited, with several Asia/Pacific organizations still going through the formative stages of digital transformation (DX). Data quality, as the underlying thread, is still the most pivotal element that will initially determine a clear case for implementation and, subsequently, the success of the initiatives," says Sampath Kumar Venkataswamy, research manager, IDC Asia/Pacific Manufacturing Insights.