
BMC announced solutions that help enterprise customers harness AI with the BMC Helix Control-M platform, the Control-M solution, the BMC AMI offerings, and the BMC Helix Operations Management platform to gain deeper insights from their data for faster innovation across complex hybrid IT environments.
Additionally, with BMC Helix available in the Google Cloud Marketplace1, companies can connect and orchestrate data from mainframe to cloud to improve the customer, partner, and employee experience.
For quicker and more accurate business decisions, BMC is introducing new product features that reduce the time between data generation and insights delivery while also ensuring quality, security, and governance in production.
- The SaaS BMC Helix Control-M and self-hosted Control-M application and data workflow orchestration platforms from BMC feature new cloud and data technology integrations that help customers accelerate data-driven business outcomes. The latest integrations include AWS, Google Cloud, Microsoft Azure, Oracle® Cloud Infrastructure (OCI), and Micro Focus.
- A new dashboard from BMC AMI zAdviser shows how data scheme changes roll out in delivery for the BMC AMI Change Manager for Db2® solution. Users can now measure the efficacy of integrating database changes into the DevOps process and track the rate of changes in an automated CI/CD pipeline.
- The BMC AMI Data for Db2® solution now offers optimized performance across mainframe environments to improve application availability response times.
In addition, new BMC enhancements help ITOps teams monitor and manage applications across complex and hybrid IT environments, and support applications deployed for digital transformation initiatives.
- Enhanced AIOps capabilities in the BMC Helix Operations Management solution isolate and resolve problems to reduce mean-time-to-repair (MTTR) while helping ITOps teams spot patterns and trends faster.
- BMC AMI Ops integrates with the BMC Helix platform to simplify troubleshooting and remediation of mainframe infrastructure and applications problems.
- Enhanced ServiceOps features from the BMC Helix platform improve problem solving and root cause analysis for major incident response.
By consolidating disparate service desk applications, BMC Helix enables teams to better predict and solve problems from a single platform.
- BMC Helix Customer Service Management gives companies an enterprise-grade, self-service, customer-facing solution by aggregating data from various touch points, including customer status, segmentation, activities, sales history, payment history, customer sentiment, NPS, CSAT, and more, through the BMC Helix platform.
- BMC Helix Portfolio Management brings end-to-end process management to business portfolios extending the value of the BMC Helix service and operations management platform.
- BMC Helix Workplace Service Management supports facilities organizations with reactive and preventative maintenance operations as a module in the enterprise BMC Helix platform.
New capabilities from BMC streamline the DevOps experience, allowing teams to direct efforts that deliver the most impact and increase the delivery of critical applications and services.
- The new DevOps-focused BMC Helix dashboard uses DevOps Research and Assessment (DORA) metrics to visualize how software development performance impacts a service or application.
- Improved service desk collaboration is now available through pre-defined integration flows with Jira, Azure DevOps, ALM Octane, Jenkins, Slack, and Microsoft Teams.
- The BMC AMI DevX suite saves developers time for faster and more frequent quality releases for mainframe applications, with impact analysis search for critical dependencies, support for concurrent development pipelines in Visual Studio (VS) Code, and DevX Workbench Code Debug for debug automation for IBM® CICS®.
- Failures are highlighted by speed MTTR and runaway abend alerts impacting multiple users, so developers can focus their efforts more strategically with the BMC AMI Abend-AID fault resolution and management tool.
Additional Control-M platform capabilities advance ITOps’ ability to securely empower developers, engineers, data teams, and business users with more self-service capabilities and an improved user experience within their operational best practices frameworks. User interfaces now include simplified application and in-context menus for different user personas, so that common use cases are implemented more efficiently, and costly service tickets are reduced.
The Latest
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...