The buzzword in industry these days are the AI agents. These act as a bridge when internal data in the company is leveraged to automate complex, real-time tasks.
AI agents are powered by generative AI and large language models (LLMs). AI agents can communicate with people, solve intricate problems and respond with role-based intelligence to make informed decisions.
To begin with, generative AI enhanced work-force productivity and efficiency by performing natural language processing (NLP) tasks such as document summarization, email writing, creative brainstorming etc. AI agents are the next evolution. They are autonomous apps capable of performing multiple workflow tasks, e.g. supporting customer service, booking flights.
AI agents form an intelligent system that can understand and respond to customer enquiries without human intervention. They have the ability to automate tasks and ‘learn on the job.’ That makes business teams free to work on high-value tasks.
Agentic AI, as per Gartner, will make 15 per cent of day-to-day work decisions autonomously by 2028.
Copilot Studio of Microsoft could be used to create AI agents for routine tasks. This requires little knowledge of computer code. Microsoft uses several OpenAI models for the agents. Copilot is the user interface for AI. Salesforce has introduced Agent Force. Oracle has recently introduced over 50 AI agents. It is a significant leap forward in automating critical areas such as HR, supply chain, customer service and finance.
AI agents are set to become ubiquitous in all areas of life. It will transform business fundamentally in operations and connectivity with customers.
Big Tech is now investing in agentic AI. It has boosted the startup world. AI agents will handle more complex tasks in future, reducing the need to invest heavily in prompt engineering.
Developers would focus on high-impact work. Developers will use tools like Copilot Workplace and code scanning autofix to build faster, more secure software.
AI agents are not limited to question-answer interactions. They can handle complete workflows. It enhances decision making.
AI agents are the future of AI.
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