Agentic AI represents a transformative leap in artificial intelligence—moving beyond the realm of generative tools to systems capable of independent decision-making and task execution. This evolution raises exciting possibilities and complex questions for businesses and individuals alike. This article explores the journey of agentic AI, from its origins to its current applications, and provides an accessible foundation for understanding this groundbreaking technology.
What is Agentic AI?
Unlike generative AI tools like ChatGPT, which require user prompts, agentic AI systems operate with a degree of autonomy. They not only comprehend their environment but also adapt to new situations and make decisions to achieve specific goals. For instance, autonomous vehicles navigate roads and make split-second decisions without human input, while robotic process automation (RPA) streamlines repetitive business tasks such as data entry. These systems exemplify the potential for agentic AI to revolutionize industries by enhancing efficiency and reducing costs.
The Evolution of Agentic AI
Agentic AI has its roots in technologies like reinforcement learning and convolutional neural networks (CNNs). These innovations enable systems to learn from feedback, process structured data, and improve their functionality over time. However, despite its advancements, agentic AI still faces limitations, such as its inability to fully grasp context or exhibit genuine understanding, underscoring the need for value alignment to ensure ethical deployment.
About the Author
Chris Shemza is a seasoned multi-disciplinary project manager and process improvement specialist with over 26 years of experience in managing high-volume, complex projects across creative, marketing, and technical domains. He has a proven track record of integrating AI and advanced technologies into workflows, particularly within creative and marketing departments, to streamline processes, enhance efficiency, and drive innovation.
With a strong foundation in agency work and in-house operations at companies such as Petco, QuidelOrtho, and West Coast University, Chris combines creative vision with tactical precision. His expertise includes SaaS evaluation, implementation, and team training, as well as leveraging AI tools for robotic process automation, quality assurance, and data-driven decision-making. Known for his leadership and stakeholder management skills, Chris excels in unifying teams, resolving conflicts, and delivering transformative solutions that elevate project outcomes in digital, print, packaging, and internet-based industries.
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