Prerna S.’s Post

View profile for Prerna S., graphic

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

CEO Poll: Where Is AI Really Adding Value?

CEO Poll: Where Is AI Really Adding Value?

chiefexecutive.net

Carol Deminski

Program Management, Business Transformation, Business Process Management, Change Management, Data Capabilities

3mo

Thanks for sharing Prerna!

To view or add a comment, sign in

Explore topics