Gartner has predicted that by 2028 one third of interactions with generative AI will use action models and autonomous agents to complete tasks.
Autonomous agents are a group of systems that can handle defined tasks without the need for regular human input, instead leveraging AI technologies to make decisions and act. Moreover, they can learn from their environment and make improvements, allowing them to perform more complex tasks.
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The technology research and consultancy firm Gartner believes that the advanced AI will have clear use cases across various sectors including healthcare, education, insurance, and gaming.
Arun Chandrasekaran, Distinguished VP Analyst at Gartner, foresees some of the positive results that may come from an increase in autonomous agents:
“In the future, human interactions with GenAI may evolve from users prompting large language models (LLMs) to users interfacing directly with autonomous intent-driven agents, which could allow for a higher degree of autonomy and much better alignment with human goals.”
Multi-Industry Application
Autonomous agents can be leveraged for several tasks like chaining models, verifying model outputs and entering it into another model, running in a loop to process inputs.
Such tasks can be turned into meaningful capabilities that can automate complex business processes by accessing the internet and utilising applications.
Chandrasekaran envisages autonomous agents performing a useful role across multiple sectors:
“Autonomous agents can reduce the need for human intervention when interacting with LLMs and reduce the burden on business users across many sectors, as they are able to spend less time on advanced prompt engineering.”
Within the healthcare sector, medical professionals can use autonomous agents to assist with treatment planning, patient care, and disease diagnostics.