How AI will transform the mainframe

AI-supported application development

Deploying AI and generative AI on the mainframe can help drive the modernization of IT estates. In addition, a DevSecOps framework can enable organizations to integrate software development, security and operations across mainframe, cloud and distributed environments to accelerate modernization. The framework helps protect a system’s availability and operational integrity while automating the applications development process. DevSecOps, combined with Kyndryl Bridge, can help to monitor and optimize the performance and reliability of mainframe applications, and speed innovation time-to-market to address new business opportunities.

LLMOps (Large Language Model Operations) complement DevSecOps by providing tools and protocols for managing Large Language Models in production environments. LLMOps can automate such tasks as building and managing prompts and expanding and monitoring AI models. Together, DevSecOps and LLMOps can help data scientists build new AI models for mainframe and hybrid cloud environments — including seamlessly integrating modern and legacy tools to help secure business-critical workloads.

A global community of experts supports the mainframe. But mainframe modernization including the infusion of AI and generative AI can help protect against current and future skills shortages by reducing transformation efforts and costs, and enhancing agility and productivity. That way, businesses and governments can continue to improve their operations while providing services their customers rely upon.

As technology rapidly evolves, we will continue to utilize the full power of AI to help businesses transform. It’s an exciting time.