Agentic data science with the Data Agent Kit
cloud.google.com·8h ago
AI Research
arXiv CS.AI·Aug 20·5 min read
Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions
TL;DR
Agentic AI is evolving rapidly, showcasing its potential to transform various sectors. This review highlights its principles, applications, and future research directions.
✦ Why It Matters
Explore current Agentic AI applications to identify opportunities for innovation in your projects today.
Key Takeaways
- Investigate Agentic AI applications in your industry.
- Consider ethical implications when developing AI systems.
- Utilize the proposed framework for stakeholder analysis.
- Stay updated on emerging research in Agentic AI.
Full Summary
Agentic AI refers to artificial intelligence systems that exhibit agency, meaning they can act autonomously to achieve specific goals. This review synthesizes recent scholarly contributions to Agentic AI, tracing its historical evolution and theoretical foundations.
It discusses the architecture and functionalities of these systems, alongside their real-world applications across diverse domains such as healthcare and finance. The review identifies current challenges in the field, such as ethical considerations and integration hurdles, while proposing a framework for understanding stakeholder intentions regarding the adoption of Agentic AI.
By analyzing existing research, it highlights key gaps and outlines future research directions that could enhance the development and implementation of Agentic AI technologies.