The advent of agentic AI in the tech world has laid the foundation for new business opportunities. Its journey began with the early chatbots. These chatbots were revolutionary milestones for human-machine interaction, but unfortunately, they struggled to decipher context and answer complex queries.
Regardless of their shortcomings, this early innovation has paved the way for advanced conversational AI technology development, handling more complex and nuanced interactions.
So, want to discover more about Agentic AI emergence? This blog explains LLM’s role in the agentic AI rise, other technological advancements that empower enterprises to adopt Agentic AI, and its use cases.
What’s the hold-up? Let’s dive in!
How Have Advancements in LLMs Fueled Agentic AI Emergence?
From the introduction of robust LLMs like GPT-3 and GPT-4 to the emergence of agentic AI, the AI landscape is constantly evolving. LLM models trained on enormous data can interpret, understand, and generate human-like text, making conversation natural.
LLMs and their tools can be considered as the driving force behind agentic AI. It enhances natural language understanding capability, and allows AI agents to comprehend complex queries. Furthermore, it enables human-like interaction, which is more natural and intuitive, and opens possibilities for multi-step problem-solving.
One capability that distinguishes Agentic AI from traditional automation technologies is the power to reason and autonomously make decisions based on the information they process using tools. AI agents analyze vast amounts of data and identify patterns. Based on this, these agents generate insights, make predictions, and take actions that align with your business objectives.
Essential Machine Learning Tools for Agentic AI
Advancements in machine learning (ML) have accelerated this AI evolution. It has transformed the way AI models work and deliver unmatched value across various industries. The blend of LLMs’ contextual understanding power with analytical rigor of ML algorithms enable us to build range of agentic AI-powered solutions such as chatbots, or search solutions.
The Agentic Layer seamlessly integrates outputs from ML models and LLMs to drive intelligent decision-making and autonomous task execution, enabling dynamic planning and the generation of actions in real-time.
There are different ML tools for agentic AI. For instance, clustering, topic modeling and regression models.
Therefore, these abilities of tools enable AI agents to learn from experience, address complex challenges and deliver intelligent, dynamic, and impactful solutions to the user.
Most Impactful Agentic AI Use Cases Today
Revolutionizing Customer service and support
One of the primary concerns of businesses is delivering top-notch customer experience, and agentic AI is coming forward to enhance it. It goes beyond automated responses and FAQs, enabling AI agents to anticipate customer needs, decipher complex queries, and offer relevant, personalized information and 24/7 support.
Imagine a search solution that not only answers your queries but also proactively foresees users’ requirements and offers personalized recommendations. It makes your customers feel valued and builds brand loyalty by enhancing their Customer experience.
Transforming the Healthcare industry
The healthcare sector is navigating through a significant digital transformation. AI technologies like agentic AI are playing a crucial role in this evolution.
For instance, software agents powered by agentic AI analyze patients’ medical history and other data and recommend personalized treatment plans, improving outcomes and optimizing resources.
Empowering Financial Strategies
Agentic AI has been the talk of the town in the financial sector. But why? Agentic AI empowers financial strategies and proactively manages potential risks and vulnerabilities by enabling AI agents to assess market trends and investment opportunities.
Additionally, it frees resources from in-depth analysis and report generation and lets them concentrate on building relationships and offering strategic guidance.
Step into the Future: Is Agentic AI the Next Move for Your Enterprise
Developing Agentic AI-powered solutions like SearchUnify Enterprise Agentic Platform (SEAP) has expedited agentic AI adoption. SearchUnify Agentic Platform offers a comprehensive suite of agentic AI-fueled solutions such as cognitive search, Knowbler (knowledge enabler), agent helper, and SUVA (SearchUnify virtual assistant, making it easier to handle complex tasks and processes, improve efficiency and maximize your ROI.
