The business value of artificial intelligence (AI) will reach $5.1 billion by 2025. Furthermore, 80% of executives think that automation can be applied to any decision. These impactful findings are among the many reasons that Gartner invests considerable resources to conduct an annual Artificial Intelligence Survey. Gartner’s annual survey is designed to understand the keys to successful AI implementations and the barriers to the operationalization of AI. The research was conducted online from October through December 2021 among 699 respondents from organizations in the U.S., Germany and the U.K. The results of the survey cut across four key themes:The Value of AIOperationalizing AITalentPrivacy, Security and RiskFor the first theme — the Value of AI — the data shows that organizations continue to increase their focus on measuring the value of their AI efforts. This zeal for value is driven by the fact that 40% of organizations have thousands or hundreds of thousands of AI models deployed. Furthermore, leading organizations expect to double the number of artificial intelligence projects in place. As such, there is a continued quest to more accurately measure value and showcase the benefits to leadership.This leads us to the other themes. The survey data reveals that operationalization progress is slow; only 54% of AI models are fully deployed. Yet, the barriers are not talent-driven. Over 70% of organizations indicate AI talent is not a primary concern for staffing AI initiatives. Organizations report that they are able to retrain or upskill existing talent or acquire new talent to meet the need.In this podcast, Gartner expert analyst Svetlana Sicular explores the first three themes, providing insights, examples and more data-driven findings from Gartner’s annual Artificial Intelligence Survey.Our host Whit Andrews is joined by expert analyst, Svetlana Sicular. Sicular’s research interests center on artificial intelligence (AI) and machine learning (ML); data-centric AI; and responsible AI and augmented intelligence.