BMC Unveils New AI Solutions with BMC AMI Agentics and Control-M to Enhance Enterprise Operations
BMC Software has taken a significant step forward in enhancing enterprise operations through the integration of advanced artificial intelligence (AI) solutions. The company has announced the launch of BMC AMI Agentics and new capabilities for Control-M, aimed at empowering organizations to seamlessly incorporate AI across their vital workflows while ensuring human oversight remains intact. This transition to AI-driven processes is part of BMC's broader mission to enhance automation in the AI era.
At the heart of this innovation is BMC AMI Agentics, which is designed to inject specialized intelligence into operational workflows. This tool empowers enterprise teams to delve deep into issues, uncover probable causes, and identify actionable next steps, all while leveraging extensive mainframe expertise and operational context.
BMC AMI Agentics offers two distinct branches aimed at enhancing database management and operational efficiency.
1. BMC AMI Agentics for Data: This version assists teams in diagnosing issues related to database systems like Db2 and IMS. Key features include the AI Reorg Advisor, SQL Workload Analyzer, and IMS Exception Advisor. These tools provide insights that help guide performance tuning and optimization efforts.
2. BMC AMI Agentics for Ops: Tailored for operations teams, this tool simplifies the investigation of CPU spikes and legacy automation processes. It is designed to make specialized operational knowledge readily applicable, helping teams pinpoint issues faster and more accurately.
A notable advantage of BMC AMI Agentics is its focus on making AI a native component of the mainframe environment. By embedding AI within existing workflows, BMC promotes the idea that AI can be applied responsibly across an organization, allowing for consistent governance and operational reliability.
In tandem with BMC AMI Agentics, the enhanced Control-M platform is set to redefine how enterprises orchestrate AI-driven processes alongside their existing application and data workflows. Recent improvements to Control-M empower operations teams with tools to efficiently troubleshoot workflows, ensure data quality, and facilitate operations across hybrid environments.
Key features of the enhanced Control-M include:
BMC emphasizes the importance of integrating AI workflows with established enterprise controls. Using LangGraph technology, BMC AMI Agentics and Control-M can effectively connect AI-driven tasks with mainframe intelligence. This interconnectivity ensures that businesses can rely on a well-governed framework as they transition into an AI-enhanced operational landscape.
As companies grapple with their AI readiness, BMC's Global Value Acceleration Days provide tailored workshops that align client priorities with actionable adoption strategies. These sessions aim to pinpoint areas where AI can deliver substantial business value while establishing necessary governance for implementation.
BMC Software's latest innovations mark a significant advancement in how enterprises can leverage AI and automation. By marrying comprehensive mainframe knowledge with AI capabilities, BMC not only empowers businesses to enhance operational efficiency but also ensures that such transformations occur within a secure and governable framework. For companies seeking to harness the power of AI to streamline processes and improve decision-making, BMC Software is positioning itself as an indispensable partner.
In conclusion, BMC's proactive approach in agentifying AI solutions illustrates the company's commitment to aiding enterprises in their quest for advanced operational efficiency and substantial value generation.
The Role of BMC AMI Agentics
At the heart of this innovation is BMC AMI Agentics, which is designed to inject specialized intelligence into operational workflows. This tool empowers enterprise teams to delve deep into issues, uncover probable causes, and identify actionable next steps, all while leveraging extensive mainframe expertise and operational context.
BMC AMI Agentics offers two distinct branches aimed at enhancing database management and operational efficiency.
1. BMC AMI Agentics for Data: This version assists teams in diagnosing issues related to database systems like Db2 and IMS. Key features include the AI Reorg Advisor, SQL Workload Analyzer, and IMS Exception Advisor. These tools provide insights that help guide performance tuning and optimization efforts.
2. BMC AMI Agentics for Ops: Tailored for operations teams, this tool simplifies the investigation of CPU spikes and legacy automation processes. It is designed to make specialized operational knowledge readily applicable, helping teams pinpoint issues faster and more accurately.
A notable advantage of BMC AMI Agentics is its focus on making AI a native component of the mainframe environment. By embedding AI within existing workflows, BMC promotes the idea that AI can be applied responsibly across an organization, allowing for consistent governance and operational reliability.
Control-M: A New Era of Universal Orchestration
In tandem with BMC AMI Agentics, the enhanced Control-M platform is set to redefine how enterprises orchestrate AI-driven processes alongside their existing application and data workflows. Recent improvements to Control-M empower operations teams with tools to efficiently troubleshoot workflows, ensure data quality, and facilitate operations across hybrid environments.
Key features of the enhanced Control-M include:
- - Data Assurance: Integrated into both Control-M SaaS and self-hosted versions, this feature validates data as it flows through various business workflows. It is crucial for identifying and rectifying data quality issues before they impact analytics and reporting.
- - AI Monitoring Capabilities: These tools provide natural language troubleshooting support, enabling teams to quickly understand workflow dependencies and resolve issues efficiently.
- - Expanded Integrations: Recent additions to Control-M include partnerships with Amazon Bedrock, IBM MQ, and Oracle JD Edwards, among others. This expansion allows businesses to orchestrate a wider array of workflows, connecting applications and infrastructure with AI capabilities.
Building an AI Ecosystem
BMC emphasizes the importance of integrating AI workflows with established enterprise controls. Using LangGraph technology, BMC AMI Agentics and Control-M can effectively connect AI-driven tasks with mainframe intelligence. This interconnectivity ensures that businesses can rely on a well-governed framework as they transition into an AI-enhanced operational landscape.
As companies grapple with their AI readiness, BMC's Global Value Acceleration Days provide tailored workshops that align client priorities with actionable adoption strategies. These sessions aim to pinpoint areas where AI can deliver substantial business value while establishing necessary governance for implementation.
Conclusion
BMC Software's latest innovations mark a significant advancement in how enterprises can leverage AI and automation. By marrying comprehensive mainframe knowledge with AI capabilities, BMC not only empowers businesses to enhance operational efficiency but also ensures that such transformations occur within a secure and governable framework. For companies seeking to harness the power of AI to streamline processes and improve decision-making, BMC Software is positioning itself as an indispensable partner.
In conclusion, BMC's proactive approach in agentifying AI solutions illustrates the company's commitment to aiding enterprises in their quest for advanced operational efficiency and substantial value generation.
Topics Business Technology）
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