AI agents are increasingly attracting attention for their potential in automating and improving efficiency in business tasks. Recent advances in generative AI have contributed to the development of agentic AI, autonomous systems capable of making decisions and processing information independently. A roundtable with experts highlighted that successful deployment of AI technology hinges on a strong data infrastructure, clear governance, and well-defined objectives. However, the need for clarity regarding the capabilities of different AI technologies, such as distinguishing chatbots from actual agentic AI, remains critical.
We need to move beyond the Babylonian confusion surrounding agents. Some people talk about conversational assistants or chatbots, while others refer to real agentic AI.
AI agents offer significant added value in applications where customer data can be used securely and efficiently, drastically accelerating business processes.
The rapid advancement of agentic AI makes it difficult to predict future developments, highlighting the balance between current innovation and potential future capabilities.
Successful project implementation of AI requires a robust data foundation, clear governance, and a deep understanding of the intended goals with AI.
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