Agentic AI: Transforming the Future of Autonomous Systems

Artificial intelligence is progressing quickly, and brands prefer independent AI models. A new kind of AI tech is in demand: AI that can independently undertake complex tasks without human intervention.



The Rise of Agentic AI

Over the past few years, major technology players have increased their efforts to create AI agents. Such self-governing programs aim to improve productivity by eliminating routine tasks and coordinating intricate workflows. For example, OpenAI and Google now have agents that can make reservations for clients and respond to users’ questions in English. Nevertheless, there are some challenges as such agents often struggle with many steps of the task and require a lot of computational power, you can start the process and then come back to see when it’s over. E.g. If you want to book tickets to Paris, just ask your Agentic AI model to do it for you, it will check on all platforms, merge it with your travel preferences and then do what you would have done.

Agentic AI in Cybersecurity

Agentic AI has also caught the attention of the cybersecurity industry. Firms such as Zscaler and Palo Alto Networks use AI to analyze large amounts of information and mitigate complex cyber threats. This shows how AI can improve security systems and protect against new-age cyber challenges. This model continuously learns and improves itself, which is the best feature of Agentic AI.

Agentic AI in Military Applications

AI is increasingly being used in military operations. For example, Scale AI recently signed an agreement with the Pentagon to provide artificial intelligence technology to assist in making critical choices during missions. In this regard, closer cooperation is developing between technology companies and defense industries on both sides of the Atlantic. Such advances signify how AI can improve long-term planning and quick-reaction strategies.

Challenges and Considerations

Even though progress has been made, it remains a question whether these agentic AI models can be trusted entirely and if they will be held responsible for their critical actions.

To sum up, independent and efficient machines are becoming more popular through agentic AI. Companies and agencies are applying agentic AI to target buyers on the internet, create personalized ads, and engage with people in real time using an advanced chatbot. At Finessse Interactive, we have been trying these features to improve our marketing campaigns, get better ad results, and develop marketing strategies that communicate effectively with potential customers and deliver better ROI.

Nevertheless, tackling the emerging challenges is essential to integrate them safely and responsibly into society.

Source: Deepak Thakkar, LinkedIn

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