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CA Technologies Achieves Global Excellence in Service Operations Certification from TSIA

CA Commitment to Customer Success Recognized by Independent Services Organization

CA Technologies has achieved Global Excellence in Service Operations certification from the Technology Services Industry Association (TSIA). TSIA advances the technology services industry through benchmarking, research, education, and certification and awards programs.

CA Technologies was recognized for meeting the highest industry support operations standards. Rigorous onsite audits confirmed CA’s stringent adherence to processes, ongoing metrics tracking and dedication to continuous improvement.

“This award validates our ongoing commitment to delivering a superior customer experience and driving customer loyalty,” said Dayton Semerjian, GM, Global Customer Success, CA Technologies. “We are proud of the members of our customer success team who work diligently each and every day to help customers and partners get the most from their investment in CA.”

“To earn Excellence in Service Operations certification, organizations must meet or exceed approximately 200 best practices criteria developed by TSIA and validated by leading technology companies. This is a tremendous undertaking,” said Tom Pridham, VP and GM, TSIA. “Through this achievement, CA Technologies has demonstrated its commitment to delivering world-class service and support to their customers.”

The Technology Services Industry Association (TSIA) is the world's leading organization dedicated to advancing the business of technology services. Technology services organizations large and small look to TSIA for world-class business frameworks, best practices based on real-world results, detailed performance benchmarking, exceptional peer networking opportunities, and high-profile certification and awards programs. TSIA corporate members represent the world's top technology companies as well as scores of innovative small and mid-size businesses in four major markets: enterprise IT and telecom, consumer technology, healthcare and healthcare IT, and industrial equipment and technology. TSIA's editorial blog, Inside Technology Services, is widely recognized by technology service professionals for providing thought leadership and insights into industry trends and best practices.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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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 ...

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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.

CA Technologies Achieves Global Excellence in Service Operations Certification from TSIA

CA Commitment to Customer Success Recognized by Independent Services Organization

CA Technologies has achieved Global Excellence in Service Operations certification from the Technology Services Industry Association (TSIA). TSIA advances the technology services industry through benchmarking, research, education, and certification and awards programs.

CA Technologies was recognized for meeting the highest industry support operations standards. Rigorous onsite audits confirmed CA’s stringent adherence to processes, ongoing metrics tracking and dedication to continuous improvement.

“This award validates our ongoing commitment to delivering a superior customer experience and driving customer loyalty,” said Dayton Semerjian, GM, Global Customer Success, CA Technologies. “We are proud of the members of our customer success team who work diligently each and every day to help customers and partners get the most from their investment in CA.”

“To earn Excellence in Service Operations certification, organizations must meet or exceed approximately 200 best practices criteria developed by TSIA and validated by leading technology companies. This is a tremendous undertaking,” said Tom Pridham, VP and GM, TSIA. “Through this achievement, CA Technologies has demonstrated its commitment to delivering world-class service and support to their customers.”

The Technology Services Industry Association (TSIA) is the world's leading organization dedicated to advancing the business of technology services. Technology services organizations large and small look to TSIA for world-class business frameworks, best practices based on real-world results, detailed performance benchmarking, exceptional peer networking opportunities, and high-profile certification and awards programs. TSIA corporate members represent the world's top technology companies as well as scores of innovative small and mid-size businesses in four major markets: enterprise IT and telecom, consumer technology, healthcare and healthcare IT, and industrial equipment and technology. TSIA's editorial blog, Inside Technology Services, is widely recognized by technology service professionals for providing thought leadership and insights into industry trends and best practices.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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.