Artificial Intelligence has undergone significant transformation over the past few years, especially within the enterprise sector. From simple chatbots to sophisticated reasoning models, businesses are beginning to realize the potential of AI to automate operations, improve IT management, and drive efficiencies. The development of AI models is quickly changing how enterprises leverage this technology to streamline processes, enhance customer experiences, and boost productivity.

The Rise of Large Language Models

In 2022, the spotlight was on large language models. These models, like the widely recognized ChatGPT, could answer general questions by processing natural language. They marked a breakthrough for organizations looking to integrate AI into their systems without requiring deep technical knowledge. In fact, ChatGPT’s release was a game-changer, as it allowed people from all levels of technical proficiency to interact with AI and gain meaningful responses. This democratization of AI made companies eager to explore how they could use such models in their business operations.

By 2023, businesses were deploying basic large language models to unlock simple features such as chatbots or search functionalities. These tools helped automate repetitive tasks and provide valuable insights, especially in customer service and IT management. However, as organizations began using these models, they quickly realized that more complex tasks and security concerns required more advanced solutions.

The Emergence of Reasoning Models

In 2024, AI models began to evolve from basic answer-generation tools to more advanced reasoning models. These models can not only answer questions but also explain the reasoning behind their answers. This development adds a layer of transparency and accountability to AI, which is crucial for enterprise use. Reasoning models are able to iteratively ask themselves questions, assess multiple possible answers, and refine their responses based on logic and context.

• Increased computational power is required to handle the complexity of these models.
• Enterprises are starting to explore how these models can assist in decision-making, improve process automation, and enhance workflows.

DeepSeek, for example, is one such reasoning model. While still in the early stages, it demonstrates that AI can function with fewer resources while maintaining or even improving performance. This could be a game-changer for organizations looking to scale AI applications with fewer GPU requirements.

AI in IT Management and Automation

As AI models evolve, so does their impact on IT management and automation. Enterprises have long sought ways to automate repetitive tasks and streamline operations, and AI is proving to be an invaluable tool in this regard. With advancements in reasoning models, companies can now automate more complex workflows and gain deeper insights into their data.

For instance, automation is becoming increasingly sophisticated, extending beyond simple robotic process automation. By integrating AI with IT systems, businesses can automate everything from data analysis to decision-making, improving both speed and accuracy. As AI tools become more integrated with enterprise systems, businesses are finding new ways to:

• Enhance customer service and user experience.
• Manage data more efficiently.
• Improve security by monitoring for potential threats in real-time.

The Role of Nutanix Enterprise AI

Nutanix Enterprise AI has emerged as a leading solution for businesses looking to leverage AI models in a more scalable and secure manner. Nutanix allows organizations to deploy and manage AI models across their infrastructure, ensuring that performance remains high and data is handled securely. The platform also enables enterprises to integrate AI with their existing IT systems, making it easier to streamline workflows and manage the growing complexity of AI models.

As businesses begin to adopt more advanced AI systems, platforms like Nutanix help simplify the deployment process by providing the necessary tools to manage AI resources, track performance, and troubleshoot issues as they arise.

Looking Ahead: AI’s Future in Enterprise

In 2025 and beyond, we expect to see even more significant advancements in AI models and their applications in enterprises. With more powerful reasoning models on the horizon, organizations will be able to automate even more complex tasks and refine their AI strategies. While AI chatbots and simple models will still have their place, the future of AI in enterprise lies in its ability to handle higher-level functions, such as decision-making and advanced data analysis.

The growing complexity of AI models will require robust systems and infrastructure, particularly as companies strive to deploy and manage these models across their enterprises. Solutions like Nutanix Enterprise AI will continue to play an essential role in helping businesses scale AI operations effectively while maintaining security and performance. Contact us today for more information or to schedule a consultation.