Data Strategy | GenAI & ML | Data Analytics | Data Architecture | Data Governance | Digital Transformation | Stakeholder Management | Program Management | Innovation and Process Automation | Cloud Technologies
Generative AI continues to intrigue America's business leaders, yet adoption remains cautious. Chief Executive Research's latest insights reveal a mixed landscape: while interest in AI's potential has surged, CEOs and CFOs cite significant barriers to widespread adoption, including concerns about errors, biases, and regulatory challenges. Despite these hurdles, larger companies are notably more active in exploring AI applications compared to smaller firms. Read on to discover key findings and implications for your organization's AI strategy. What's been your organization's biggest hurdle in harnessing generative AI, and what steps are you taking to overcome it? Join the conversation by sharing your challenges and strategies in the comments below! #FutureOfAI, #CEOPerspectives, #TechInnovation
Program Management, Business Transformation, Business Process Management, Change Management, Data Capabilities
3moThanks for sharing Prerna!