"A survey of 101 senior engineering leaders published this week finds while 87% believe their organization is "prepared" or "very prepared" to adopt artificial intelligence (AI). It's also clear that several hurdles remain, most notably making sure application development teams have the quality assurance skill and expertise needed to validate AI outputs (66%). Additionally, the survey identifies technical debt (27%) and lack of clear AI strategy (22%) as the two greatest strategic threats to AI potential."
"Amy Carrillo Cotten, director of client transformation at Uplevel, said the survey results suggest that while there is a lot of AI optimism, engineering leaders are also becoming more cognizant of some of the inherent challenges. For example, 30% cited data security and privacy risks as a significant issue that will need to be addressed. Overall, engineering leaders are investing in AI to drive operational efficiency (53%), accelerate innovation (40%), improve decision-making (28%) and boost competitive advantage (23%)."
101 senior engineering leaders reported that 87% believe their organizations are prepared or very prepared to adopt artificial intelligence. Many leaders identify hurdles, especially ensuring application development teams possess quality assurance skills to validate AI outputs (66%). Leaders are increasing focus on performance monitoring and optimization (39%) and system architecture and integration skills (34%). Technical debt (27%) and lack of clear AI strategy (22%) are viewed as major strategic threats. Data security and privacy risks concern 30% of leaders. Investments target operational efficiency (53%), innovation (40%), decision-making (28%), with reskilling (40%), hiring AI specialists (34%), and vendor partnerships (22%) being common approaches.
Read at DevOps.com
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