Latest Trends in Agentic AI (AI Agents)
Introduction
Agentic AI (aka AI agents) are software programs designed to perform tasks on behalf of users. These agents have the ability to connect to various services, make decisions, and interact with users in a human-like manner. In recent years, there have been significant advancements in agentic AI, leading to the emergence of new trends and developments. This report aims to explore the latest trends in agentic AI based on the information provided.
AI Agents Connecting to Other Services
One of the key trends in agentic AI is the increasing capability of AI agents to connect to other services and perform tasks on behalf of users. According to the Stanford Institute for Human-Centered Artificial Intelligence (HAI), there is an expectation that AI agents will become more capable of making reservations, planning trips, and interacting with various services in 2024. This trend is driven by the need for more efficient and seamless interactions between users and AI agents.
The integration of AI agents with various services has the potential to revolutionize industries such as travel, hospitality, retail, and education. For example, AI agents can assist users in booking flights, hotels, and rental cars, providing personalized recommendations based on user preferences. In the retail industry, AI agents can help customers find products, make purchases, and track deliveries. In education, AI agents can provide personalized learning experiences and assist students in their academic journey.
Advancements in Multimedia Capabilities
Another trend in agentic AI is the advancement of multimedia capabilities, particularly in video generation. The HAI highlights the hope for advancements in video generation capabilities in 2024. This trend is driven by the increasing demand for video content in various industries, including entertainment, marketing, and education.
With improved video generation capabilities, AI agents can create high-quality videos without human intervention. This has the potential to streamline the video production process and reduce costs. For example, AI agents can generate promotional videos for businesses, create personalized video content for educational purposes, and even assist in video editing tasks.
However, it is important to note that the development of advanced multimedia capabilities in AI agents may take more than one year to fully materialize. The complexity of video generation and the need for sophisticated algorithms and computational resources pose challenges in achieving this trend.
Autonomous Agents in Generative AI
Advancements in AI agents are also being seen in the field of generative AI. Generative AI agents are autonomous software programs designed to accomplish specific objectives without human intervention. According to an article on Forbes, autonomous agents are being used in generative AI to produce content and make decisions with little human intervention.
These autonomous agents have the potential to revolutionize industries by improving the customer experience and reducing costs. In industries such as travel, hospitality, retail, and education, autonomous agents can automate tasks, provide personalized recommendations, and assist users in their decision-making process. For example, in the travel industry, autonomous agents can help users plan their trips, recommend destinations, and book accommodations. In the retail industry, autonomous agents can assist customers in finding products, making purchases, and providing post-sales support.
To further enhance the capabilities of autonomous agents, the development of new frameworks leveraging multimodal AI techniques is predicted in 2024. Multimodal AI combines various AI techniques, such as natural language processing, computer vision, and speech recognition, to improve interaction and decision-making. These frameworks aim to build more intelligent and responsive autonomous agents, capable of understanding and responding to user needs in a more human-like manner.
Cognitive AI Agents in Various Industries
In addition to generative AI agents, advancements in AI agents are also being seen in the field of cognitive AI. Cognitive AI agents focus on teaching machines advanced human soft skills, such as active listening, problem solving, and reading between the lines. These agents can automate high-touch, high-value services and assist humans in making informed decisions based on their individual needs and characteristics.
Examples of cognitive AI agents in different industries include the University of Arizona’s Catbot in education, AI agents in HR for candidate interviews and personality analysis, and cognitive AI agents in healthcare for patient engagement and mental wellness. These cognitive AI agents are integrated into workflows in industries that provide essential human services, helping to scale out these services and improve customer and employee satisfaction.
To fully leverage the potential of cognitive AI agents, it is important for individuals to empower themselves with essential skills to master AI and become AI supervisors. This ensures that humans stay at the forefront of these advancements and can effectively collaborate with AI agents to achieve desired outcomes.
Conclusion
In conclusion, the latest trends in agentic AI (AI agents) include the increasing capability of AI agents to connect to other services and perform tasks on behalf of users, advancements in multimedia capabilities, the emergence of autonomous agents in generative AI, and the integration of cognitive AI agents in various industries. These trends have the potential to revolutionize industries, improve customer experiences, and reduce costs. However, it is important to note that the development of these trends may take time and require further advancements in AI technologies.
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References
- Stanford Institute for Human-Centered Artificial Intelligence (HAI). (n.d.). What to Expect from AI in 2024. Retrieved from https://hai.stanford.edu/news/what-expect-ai-2024
- Broughel, J. (2023, December 29). Artificial Intelligence Trends To Watch In 2024. Forbes. Retrieved from https://www.forbes.com/sites/jamesbroughel/2023/12/29/artificial-intelligence-trends-to-watch-in-2024/
- Marr, B. (2023, November 1). The Top 5 Artificial Intelligence Trends For 2024. Forbes. Retrieved from https://www.forbes.com/sites/bernardmarr/2023/11/01/the-top-5-artificial-intelligence-trends-for-2024/
- Janakiram, M. S. V. (2024, January 2). Exploring The Future: 5 Cutting-Edge Generative AI Trends In 2024. Forbes. Retrieved from https://www.forbes.com/sites/janakirammsv/2024/01/02/exploring-the-future-5-cutting-edge-generative-ai-trends-in-2024/
- Drenik, G. (2024, January 11). What’s Beyond Generative AI? Cognitive AI Agents Delivering Her Promises Across Industries. Forbes. Retrieved from https://www.forbes.com/sites/garydrenik/2024/01/11/whats-beyond-generative-ai-cognitive-ai-agents-delivering-her-promises-across-industries/
- Kite-Powell, J. (2023, December 29). How Some Experts See The Future Of AI In 2024. Forbes. Retrieved from https://www.forbes.com/sites/jenniferkitepowell/2023/12/29/how-some-experts-see-the-future-of-ai-in-2024/
