IBM watsonx Assistant for Z is now generally available!

We are thrilled to introduce IBM Watson Assistant for Z, now widely accessible. This innovative generative AI assistant integrates conversational AI with IT automation, revolutionizing how system programmers, IT operators, and developers of varying expertise interact with and oversee mainframe operations.

IBM watsonx Assistant for Z enhances IBM Z professionals’ productivity by putting decades of experience and best practices at your teams’ fingertips. This AI assistant is designed to simplify and optimize the execution of repeated tasks by codifying the knowledge of Z experts into a trusted set of automations that can be used by system programmers, operators and developers of all experience levels. IBM watsonx Assistant for Z improves IBM Z users’ autonomy and confidence by providing accurate answers that help reduce the time to onboard early-tenure users and accelerate knowledge transfer from Z experts.

Leveraging IBM watsonx Orchestrate and developed in collaboration with IBM Research, Watson Assistant for Z utilizes the advanced granite-13b-chat-v2 model. This enterprise-grade English-language model is meticulously trained on a vast dataset exceeding 2.5 trillion tokens, incorporating specialized IBM Z content. It incorporates a Z domain-specific retrieval-augmented generation (RAG) technique, enhancing large language models with targeted knowledge sources. This ensures precise responses and up-to-date information tailored to IBM Z domain-specific requirements.

IBM watsonx Assistant for Z is designed to simplify and optimize the execution of repeated tasks by codifying knowledge into a trusted set of automation assets. Users can seamlessly import existing trusted automation created with Ansible, JCL, and REXX, among others as skills into the product catalog. These skills can be invoked via a contextually aware chat experience, using watsonx Orchestrate’s extensible automation framework that improves productivity and accelerates efficiency on the mainframe.

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On April 21 2021, 11 AM CT