Despite recognizing the potential of AI in driving growth, over half of manufacturing leaders feel unprepared to implement the technology primarily due to poor data quality. A significant number, 69%, doubt their effectiveness in using data for AI, with only 42% considering their organization's data as excellent. Furthermore, fears about proprietary data exposure from AI exacerbate their hesitance. Although many manufacturers are investing in AI infrastructure, the emphasis remains on improving data quality to unlock AI's true potential in enhancing operational performance.
While 87% of manufacturing leaders agree that great data is critical for AI success, 69% question their firm's effectiveness at using data for AI.
Manufacturers must focus on the quality of their data to deliver substantial performance improvements and enhance their AI Ops initiatives.
#ai-in-manufacturing #data-quality #manufacturing-industry #technology-adoption #competitive-advantage
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