Companies often struggle to achieve returns on AI investments, as demonstrated by reports from The Wall Street Journal and MIT's retraction of an AI paper. There is, however, potential for significant gains from AI when used wisely to automate processes across various industries. Current AI applications successfully enhance productivity particularly in the realms of natural language processing and data management. An example is the use of AI in Failure Mode and Effects Analysis (FMEA), which is vital yet labor-intensive in manufacturing, especially for global companies with diverse operations.
The Wall Street Journal reported in April 2025 on companies struggling to realize returns on AI. Just weeks later, it covered MIT's retraction of a technical paper about AI.
Incredible results are being found from judicious use of AI and related technologies in automating processes across industries.
The dominant patterns where AI gains are realized currently boil down to two things: language (translation and patterns) and data (new format creation and data search).
FMEA is both critical and often labor intensive. It is not always performed prior to a failure in manufacturing equipment.
#ai-adoption #business-automation #natural-language-processing #data-management #manufacturing-challenges
Collection
[
|
...
]