What are Agentic AI and Agentic Systems?Â
Agentic AI generally refers to the type of artificial intelligence that exhibits "agency." This means it has the capacity to act independently, make its own decisions, adapt to changing circumstances, and pursue goals without constant human oversight. It's a broad concept describing AI that is proactive and autonomous.
Agentic Systems often refers to the implementation or architecture of such AI. An agentic system is a broader framework that can incorporate one or multiple "AI agents" (which are individual components embodying agentic AI principles) to achieve complex tasks. These systems are designed to coordinate and manage these agents, allowing them to work together, delegate subtasks, and dynamically respond to workflows.
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Betsy Burton, Vice President of Research and Aragon Fellow, is a seasoned AI architecture expert at Aragon Research. With a career spanning over three decades, Betsy has been a guiding force for numerous organizations in the public and private sectors. Her expertise lies in technology-enabled business strategies, business architecture, digital business transformation, enterprise architecture, and business capability modeling. Joining Aragon Research in 2019, Betsy is recognized for her profound knowledge in AI tools, strategies, and trends, making her an invaluable resource for Chief AI Officers, CIOs, and executives seeking informed guidance in the dynamic landscape of artificial intelligence.
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