BMC Unveils AI Innovations for Enhanced Workflow and Mainframe Transformation

Apr 15, 2025
BMC has introduced new AI-driven solutions to improve workflow orchestration and mainframe transformation, including the Gen AI-powered advisor for Control-M SaaS and BMC AMI Assistant.
BMC Unveils AI Innovations for Enhanced Workflow and Mainframe Transformation

BMC Software, Inc. has announced new AI-driven solutions aimed at enhancing workflow orchestration and mainframe transformation, as stated in a press release. The innovations include a Gen AI-powered advisor for the Control-M SaaS solution, named Jett, which allows users to ask workflow-related questions in common language, facilitating faster troubleshooting and workflow optimization.

Additionally, BMC introduced the BMC AMI Assistant, which offers a curated LLM model library and a Bring-Your-Own Language Model (BYOLM) option, providing flexibility for mainframe transformation. This tool helps organizations tailor their AI strategies to specific workloads and security requirements.

The BMC AMI Ops Insight solution, powered by the BMC AMI Assistant, provides AI-guided system resolution, enabling operations teams to quickly address issues and maintain efficient mainframe operations. These innovations are part of BMC's ongoing efforts to leverage AI for improved business outcomes.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.