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CA Technologies Delivers New Solution to Reduce Downtime and Respond to Business Change

Predictive Analytics Adds Intelligence to Workload Automation

CA Technologies announced a new version of CA Workload Automation iDash to help customers predict and prevent potential problems across mainframe, distributed and cloud environments and reduce IT downtime.

New predictive analytics are designed to give IT departments the intelligence needed for optimum management and control of workload priorities in the dynamic data center, allowing them to adapt to rapidly changing enterprise demands and opportunities.

"Customers need tools to predict and prevent potential IT problems before they impact business productivity, revenue and customer loyalty,” said Michael Madden, general manager, Mainframe, CA Technologies. “CA offers the power of predictive analytics to help IT more quickly respond to changing priorities and minimize business disruption.

This release of CA Workload Automation iDash adds support for CA Workload Automation CA 7 Edition. It helps monitor the health of workload performance, and manage and report on service levels, trends and predictions. When used in a multi-platform environment, CA Workload Automation iDash delivers an intelligent, cross-enterprise workload automation solution.

"Agile, flexible, dynamic data center operations are critical to driving a positive customer experience,” said Torsten Volk, research director, Enterprise Management Associates. “The predictive analytics coming from CA Workload Automation iDash play a critical role in successful workload automation processes and the delivery of improved service levels, better SLA performance, improved application availability and reducing the risk of job failures.

"CA Workload Automation iDash will help our customers visualize, monitor, analyze and predict the performance of their critical workloads, giving them the flexibility to respond to business needs across the rapidly changing and dynamic data center,” said Antony Askew, CA Technologies Practice Manager at Extra Technology, a CA Technologies global partner. “With CA Technologies we’re delivering the best value to our mutual customers by offering an expanded portfolio of unified cross-enterprise workload services designed for fast business reaction with minimal risk.

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CA Technologies Delivers New Solution to Reduce Downtime and Respond to Business Change

Predictive Analytics Adds Intelligence to Workload Automation

CA Technologies announced a new version of CA Workload Automation iDash to help customers predict and prevent potential problems across mainframe, distributed and cloud environments and reduce IT downtime.

New predictive analytics are designed to give IT departments the intelligence needed for optimum management and control of workload priorities in the dynamic data center, allowing them to adapt to rapidly changing enterprise demands and opportunities.

"Customers need tools to predict and prevent potential IT problems before they impact business productivity, revenue and customer loyalty,” said Michael Madden, general manager, Mainframe, CA Technologies. “CA offers the power of predictive analytics to help IT more quickly respond to changing priorities and minimize business disruption.

This release of CA Workload Automation iDash adds support for CA Workload Automation CA 7 Edition. It helps monitor the health of workload performance, and manage and report on service levels, trends and predictions. When used in a multi-platform environment, CA Workload Automation iDash delivers an intelligent, cross-enterprise workload automation solution.

"Agile, flexible, dynamic data center operations are critical to driving a positive customer experience,” said Torsten Volk, research director, Enterprise Management Associates. “The predictive analytics coming from CA Workload Automation iDash play a critical role in successful workload automation processes and the delivery of improved service levels, better SLA performance, improved application availability and reducing the risk of job failures.

"CA Workload Automation iDash will help our customers visualize, monitor, analyze and predict the performance of their critical workloads, giving them the flexibility to respond to business needs across the rapidly changing and dynamic data center,” said Antony Askew, CA Technologies Practice Manager at Extra Technology, a CA Technologies global partner. “With CA Technologies we’re delivering the best value to our mutual customers by offering an expanded portfolio of unified cross-enterprise workload services designed for fast business reaction with minimal risk.

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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 ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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 ...

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Broadcom

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 ...