What is an Agentic AI? Why is an Agentic AI the Next Technological Breakthrough?
Artificial intelligence (AI) technology is developing at a dizzying speed. As generative AI is gradually becoming familiar, a new concept has emerged – Agentic AI – promising to be the next technological breakthrough in the current automation technology trend. So what is an Agentic AI? Why is an Agentic AI the next breakthrough in technology?
What is Agentic AI?
Agentic AI is a combination of AI technology based on large language models (LLM) and process automation using Robotic Process Automation (RPA).
In which:
- An AI chatbot based on LLM such as ChatGPT has the ability to understand context, interact with natural language and make intelligent decisions based on data.
- RPA is a technology that automates repetitive processes using Robots to help reduce manual work and improve operational efficiency.
In essence, an AI agent is a system with a certain degree of autonomy and can act on its own to achieve specific goals. In other words, an AI agent is an intelligent system designed to perceive the environment, process information and take action.
The highlight of AI agents compared to traditional AI is the ability to “chain”. This means that when receiving a request, it will perform a series of consecutive actions, breaking down a complex task into smaller, easier-to-handle and manage steps.
AI agents can be considered as intelligent digital assistants that perform tasks on behalf of users. In addition to performing simple tasks, answering questions like chatbots, AI agents can proactively solve complex problems. They not only follow the user’s instructions but also expand, proactively predict their needs and then give opinions and propose creative solutions.
For example, AI agents can automatically schedule meetings, retrieve important data, and make decisions based on the collected information. All without human intervention.
Two Types of Agentic AI
Nvidia’s Dr. Fan believes that there will be two types of AI agents in general: Software AI Agents and Shaped AI Agents.
Software AI Agents
Software AI agents are programs that run on computer platforms, servers, or mobile devices. These agents are invisible, they do not exist in a physical or shape form, but can perform many important tasks, from processing data to providing services. These agents have the ability to learn and evolve, helping to automate complex processes such as big data analysis, making intelligent predictions or recommendations to support decisions.
In addition, software AI agents can be easily integrated into systems and applications to improve performance. In businesses, they are used to track user behavior, optimize marketing, and improve customer experience. The convenience of not needing a physical form allows them to be quickly changed and upgraded according to actual needs, helping businesses save on operating costs.
Examples of software AI agents:
Chatbots: Automated programs that interact with users via text or voice, providing customer service or information, such as chatbots for banks or e-commerce sites
Virtual assistants: Applications such as Siri, Google Assistant, or Alexa, that help users perform tasks such as searching for information, setting schedules, or controlling smart devices.
Physical AI Agents
Physical AI agents will appear as physical robots, visible in real life or 3D graphic models in the virtual world. These 3D models are often used in games and simulated environments. For example, AI characters perform actions or respond to data from players in virtual game worlds or VR/AR applications (a new technology enhanced from VR technology, users will experience virtual models in real space through smartphones or computers).
Physical AI agents in real life include humanoid robots or industrial robots. These robots are not only capable of moving and performing specific tasks but can also communicate and interact with humans and the environment. For example, robots in production lines, medical care robots.
Examples of Agentic AI with shapes:
- Humanoid robots: Sophia, a robot capable of communicating, interacting, and expressing emotions, often appears in technology events and media.
- Robotic arms: Automated devices in manufacturing plants, such as robot arms on production lines, performing assembly or transporting tasks, or medical care robots.
Why Agentic AI is the latest technology trend?
AI Agentic Automation is expected to become the next standard in business management for the following reasons:
Increased autonomy
The highlight of AI agents comes from their autonomy. These agents can operate with little or no human intervention. This allows businesses to deploy many automated processes without worrying about constant supervision or worrying about errors. This autonomy not only saves time but also saves human resources, thereby improving overall work efficiency.
Teamwork ability
AI agents can work together smoothly with each other and with humans on complex projects. This ability allows for workflow optimization, enhances team performance, and promotes collaboration between different departments in the business. Using AI agents as virtual teammates reduces the workload of employees while improving the quality and speed of the final product.
Deeper Process Automation
With the ability to autonomously make decisions, AI agents can not only automate repetitive manual processes but also automate complex, cumbersome processes. They can suggest and propose creative ideas, thereby improving work efficiency, saving time and resources, while minimizing the risk of errors during implementation.
Fostering Innovation
The combination of artificial intelligence and automation opens up many new solutions and methods, promoting creativity and innovation in businesses. AI agents not only improve existing processes but also encourage creative thinking, helping businesses stay ahead of the industry by applying new technologies and process improvements to optimize business results.
Problem Solving and Making Suggestions
By learning and adapting to their environment, AI agents can solve problems more effectively than traditional systems. They do not simply search for solutions but also make creative suggestions, helping businesses respond more flexibly to new challenges and opportunities.
Agentic AI is one of the clearest examples of AI and the automation trend that continues to be present in real-life areas. Businesses need to regularly update technology trends to promote innovation, help businesses stay ahead of the industry as well as apply automation technologies such as RPA, AI, IDP, … to optimize business processes as much as possible.
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