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 today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...