VentureBeat: “A new report from Deloitte sheds light on the complex landscape of generative AI adoption in the enterprise, revealing both significant progress and persistent challenges. The survey, titled “The State of Generative AI in the Enterprise: Now decides next,” gathered insights from 2,770 business and technology leaders across 14 countries and six industries. The survey is the latest in the company’s quarterly series on the state of gen AI in the enterprise. The first edition of the survey released in January found that business leaders were concerned about societal impact and tech talent. The new report paints a picture of organizations striving to capitalize on gen AI’s potential while grappling with issues of scalability, data management, risk mitigation and value measurement. It highlights a critical juncture where early successes are driving increased investments, but the path to widespread implementation remains fraught with obstacles. Key findings from the report include:

• 67% of organizations are increasing investments in gen AI due to strong early value
• 68% have moved 30% or fewer of their gen AI experiments into production
• 75% have increased investments in data lifecycle management for gen AI
• Only 23% feel highly prepared for gen AI-related risk management and governance challenges
• 41% struggle to define and measure the exact impacts of gen AI efforts
• 55% have avoided certain gen AI use cases due to data-related issues

“I see a lot of our clients are prototyping and piloting, but not yet getting to production,” Kieran Norton, principal at Deloitte, told VentureBeat. “A lot of that relates to concerns around both data quality and implications thereof, including bias getting into a model.”