“Across the board, concerns around security, response accuracy, and costs have forced most businesses to slow down their planned initiatives and be more strategic about the balance between cost and benefit,” Lucidworks said in a statement. “Security worries have tripled, accuracy concerns have grown fivefold, and transparency issues have quadrupled since 2023.”
Challenges in the manufacturing sector
The reluctance to embrace Gen AI in manufacturing isn’t quite surprising to analysts. “Data security and response accuracy concerns are particularly acute in the manufacturing sector due to the high stakes in production processes and the proprietary nature of manufacturing data,” said Thomas George, president of Cybermedia Research. “Compared to other industries, manufacturers must be more cautious in protecting their information and ensuring correct results from AI automation outputs that govern process integrity and product quality.”
Manufacturers also face technical and operational challenges, such as the need for retrofitting existing systems, that contribute to their hesitation in adopting Gen AI.
