Theta EdgeCloud has made significant strides since its launch in June, gaining traction in academia and enterprise sectors. Prestigious institutions such as KAIST, Korea University, Seoul Women’s University (SWU), Hankuk University, Jamcoding, and Yonsei University are utilizing its infrastructure to further their AI research across various cutting-edge fields.
Through these collaborations, EdgeCloud is now powering essential AI applications, including computer vision, real-time data analytics, generative AI, and large language model training and inference. The platform is now expanding to support Agentic AI, an emerging component in AI use cases.
Agentic AI: A New Frontier in AI Development
Agentic AI represents a novel class of AI systems that function as autonomous agents, capable of performing tasks, making decisions, and interacting with their environments without continuous human oversight. Unlike traditional generative AI, which requires user prompts, Agentic AI can proactively initiate actions, manage workflows, and adapt to changing conditions based on predefined goals.
The market for Agentic AI is projected to grow significantly, from $30.89 billion in 2023 to over $367 billion by 2033, according to Emergen Research. This growth is largely driven by its adoption across sectors such as healthcare, finance, robotics, and industrial automation. The Asia-Pacific region is expected to experience the highest growth rate, driven by rapid digitization, government support, and increasing AI adoption across industries. Theta plans to leverage this trend by initially focusing on Korea and other Asian markets.
RAG Chatbot: Theta EdgeCloud’s First Agentic AI Product
Theta EdgeCloud has introduced Agentic AI as a service, empowering businesses with advanced AI capabilities. Its first Agentic AI product, the RAG (Retrieval Augmented Generation) Chatbot, allows users to continuously update and expand the chatbot’s knowledge base. This ensures that interactions remain accurate, dynamic, and relevant, making it a powerful tool for various enterprise applications.
The RAG Chatbot seamlessly integrates real-time information retrieval with AI-driven conversational capabilities, offering more accurate and personalized interactions. This has significant potential in industries requiring real-time data retrieval and natural conversational interaction.
One notable application is by the NHL’s Vegas Golden Knights, who are integrating the RAG-powered AI chatbot to enhance digital fan experiences on their website. The platform will utilize AI to answer fan inquiries at any time, providing information on upcoming games, tickets, broadcasts, stats, merchandise, and more. The chatbot ensures comprehensive responses using the most up-to-date information available.
For more details on Theta EdgeCloud’s initiatives, visit the announcement here.
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