BMC announced several new BMC Helix and Control-M innovations that extend data science in the enterprise to gain more value and insights and better serve customers, while increasing agility and resilience.
The new BMC innovations help customers accelerate their efforts to become an Autonomous Digital Enterprise (ADE), a framework that embraces intelligent tech-enabled systems across every facet of the business to thrive during seismic changes.
These innovations put data at the center and allow customers to:
- Improve performance of business-critical services with real-time insights: The Control-M Workflow Insights solution provides in-depth application and data workflow observability to continuously monitor and improve the performance of workflows that power critical business services. With telemetry data gathered from application and data workflow behavior, organizations can now continually optimize workflow and resource consumption.
- Access workflow orchestration benefits through common cloud services tools: BMC is introducing new integrations for its Control-M solution. Utilizing the robust data processing capabilities of cloud environments, Control-M simplifies workflow orchestration for leading PaaS offerings, including AWS Glue, Google Cloud Dataflow and Function, Microsoft Azure Data Factory, and other data ecosystem integrations such as Databricks and UI Path.
- Deliver immersive and engaging customer and employee experiences: The new BMC Helix Digital Workplace studio provides a seamless employee experience with a custom workspace for teams designed to fit their needs and wants. Content and context can be customized with the user interface layer specifically created to support different functions and lines of business within an organization.
- Achieve service assurance through intelligent automation: The BMC Helix for Communication Service Providers (CSP) offering is the first purpose-built vertical product from BMC for the evolving needs of CSPs. It provides critical intelligent service assurance solutions that meet CSP requirements today with the scalability and modularity to meet future goals. It delivers 360-degree service assurance with a zero-touch Network Operations Center (NOC), all from the BMC Helix platform that combines AIOps with intelligent automation in a single pane of glass.
- Give data personas workflow flexibility by applying DevOps practices to DataOps: The Control-M Python client is a new offering incubated in the BMC Innovation Labs. The client is an easy-to-use tool that offers automation integration with data science and data engineering tools and open-source code. Data personas can define and run their data pipelines and build workflows in Control-M using Python with flexibility and speed.
- Increase agility with ServiceOps: The BMC Helix solution uniquely delivers ServiceOps, which provides a seamless, unified environment to deliver IT service and operations management excellence. Supporting traditional IT and DevOps initiatives, ServiceOps helps organizations improve DevOps processes and increase agility by using AI to predict change risk using service and operational data, support cross-functional collaboration, and automatically recommend problem resolutions.
The latest innovations from BMC continue to build on previous announcements of new mainframe DevOps solutions introduced earlier in the month and BMC’s strategic acquisition of StreamWeaver. The acquisition adds new data integrations for BMC Helix Operations Management with AIOps, along with AI/ML-driven event situations and root cause isolation, and the intelligent, automated remediation of found issues.
"Organizations are improving their business outcomes by adopting a data mindset and supporting a systematic approach to data strategy, architecture, operations, and execution,” said Ali Siddiqui,CPO at BMC. “The new BMC Helix and Control-M innovations put data in the hands of enterprises so they can better serve their own customers, while navigating the change needed for their own transformations.”
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...