The article discusses the emergence of agentic AI tools and their potential for improving productivity in organizations. A Deloitte report indicates a growing interest in developing these tools, yet faces several obstacles such as regulatory uncertainty and data deficiencies. While AI agents could offer substantial business value, their complexity amplifies the challenges compared to standard AI tools. Experts stress the importance of robust data infrastructure and recommend simplifying initial implementations to effectively integrate these agents into workflows across companies.
"As software systems that can meet objectives with minimal intervention, agents could help accelerate the creation of long-lasting business value."
"However, the key barriers currently faced by Gen AI – regulatory uncertainty, risk management, data deficiencies, and workforce issues – still apply, and are arguably even more important due to the increased complexity of agentic systems."
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