Key Takeaways
- Agentic AI represents a significant step forward, enabling AI systems to operate more independently and make their own decisions.
- Businesses are increasingly exploring agentic AI, with a notable rise in pilot projects expected in the coming years.
- This advanced AI can handle complex tasks, from improving customer service to analyzing data and executing strategies.
- Partnerships, such as between Quanta Cloud Technology (QCT) and NVIDIA, are providing the foundational technology for these new AI capabilities.
Artificial intelligence is evolving, and a new form called “agentic AI” is making systems smarter and more autonomous. This isn’t just a futuristic idea; it’s about AI that can understand situations, make choices, and act on its own using advanced AI techniques.
The interest in agentic AI is growing rapidly. According to a prediction by CIO.com, drawing from Deloitte, about a quarter of companies already using generative AI are expected to test agentic AI this year. This figure could jump to half of such companies by 2027.
So, what can this AI do? Imagine customer service that goes beyond simple answers. Agentic AI could, for example, check a customer’s account balance and suggest the best ways to settle it, helping them complete transactions smoothly. It can pull information from many sources, think through problems, and carry out plans.
To help organizations adopt these advanced AI applications, companies like Quanta Cloud Technology (QCT) are working with NVIDIA. They aim to make it easier for businesses to deploy agentic AI solutions, whether in their own data centers or in private cloud setups.
NVIDIA provides a software platform that includes tools to help build, customize, and run AI models efficiently and securely. When Tthis is combined with QCT’s specialized computer systems, businesses can get a powerful and scalable platform for various AI projects.
The advantages of using agentic AI are clear: businesses can become more efficient, make better decisions, and simplify their operations. However, realizing these benefits requires a solid technological foundation capable of handling and training with large amounts of data.
For companies looking for streamlined deployment, QCT also offers solutions in partnership with VMware and NVIDIA. These pre-tested packages are designed to simplify setting up agentic AI in private cloud environments, allowing businesses to innovate quickly while keeping sensitive data secure.
QCT focuses on providing flexible hardware to support a wide range of AI tasks, from running AI inferences to large-scale training of AI models. They offer various server configurations, including powerful GPU systems, to meet diverse AI needs across different industries.
As agentic AI systems become more capable of automating complex processes and enhancing decision-making, they are poised to bring significant changes across many sectors. By utilizing robust software and hardware, organizations can build a strong foundation for their AI-driven future in an increasingly intelligent world.
