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HEIG-VD Students Visit CA Technologies Silicon Valley Technology Center

CA Technologiesannounced that students from Haute Ecole d’Ingenierie et de Gestion du Canton de Vaud (HEIG-VD) University in Switzerland visited its Silicon Valley Technology Center this week.

Twelve students took part in the trip as a part of their International Innovation Management (IIM) module (course); six from the Bachelor in Business Administration program and the remaining six from the Bachelor in Engineering program. The idea of involving both student groups at the same time is to enable these two different areas to learn from each other: the engineers are being encouraged to think in terms of business and the business students are encouraged to think in terms of technology.

The visit is funded by the Swiss Government and HEIG-VD’s Department of Education, Youth and Culture. It is a part of a two-week educational program, where the students will have the opportunity to explore the key aspects and definition of the term innovation with industry experts in Silicon Valley.

The students will visit other technology organizations. At CA Technologies, they learned about the company, its heritage and take part in workshops debating innovation in large companies, and comparing it to smaller or startup companies. Peter Matthews, Research Scientist at CA Technologies and author of “Innovative CIO” will be brainstorming trends (five years and ahead), and Jacob Lamm, EVP of Strategy and Corporate Development at CA, will be hosting a discussion on a forward look at innovation in corporate strategy. The CA product group will also lead a debate on what’s coming up in the next 18 months to two years.

At the end of the workshops, CA executives will judge student’s innovative ideas. The ideas that came from last year’s workshops included managing prosthetics, mobile apps and a whole range of others. The aim is to help develop innovative and creative thinking, and then armed with this mind on return to Switzerland, the students can help drive future innovation.

The trip aligns with CA Technologies’ corporate social responsibility program (“Create Tomorrow”), designed to nurture the next generation of science, technology, engineering and mathematics (STEM) leaders. The company is already investing CHF 200,000 annually with École Polytechnique Fédérale de Lausanne (EPFL) and HEIG-VD, as part of a five year relationship. CA Technologies is also a member of The European Commission’s Grand Coalition to further facilitate collaboration amongst businesses and education providers to help attract young people to learn ICT subjects, and to address the major shortfall in the development of IT expertise across the continent.

“Our team will help the students contrast the different ways start-ups, small organizations and large corporations innovate. Innovation is in the DNA of the start-ups, but this is not exclusive to new, smaller companies. Large companies deliver significant innovation too. These students will get unique access to experienced innovators at all levels with CA,” said Matthews.

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HEIG-VD Students Visit CA Technologies Silicon Valley Technology Center

CA Technologiesannounced that students from Haute Ecole d’Ingenierie et de Gestion du Canton de Vaud (HEIG-VD) University in Switzerland visited its Silicon Valley Technology Center this week.

Twelve students took part in the trip as a part of their International Innovation Management (IIM) module (course); six from the Bachelor in Business Administration program and the remaining six from the Bachelor in Engineering program. The idea of involving both student groups at the same time is to enable these two different areas to learn from each other: the engineers are being encouraged to think in terms of business and the business students are encouraged to think in terms of technology.

The visit is funded by the Swiss Government and HEIG-VD’s Department of Education, Youth and Culture. It is a part of a two-week educational program, where the students will have the opportunity to explore the key aspects and definition of the term innovation with industry experts in Silicon Valley.

The students will visit other technology organizations. At CA Technologies, they learned about the company, its heritage and take part in workshops debating innovation in large companies, and comparing it to smaller or startup companies. Peter Matthews, Research Scientist at CA Technologies and author of “Innovative CIO” will be brainstorming trends (five years and ahead), and Jacob Lamm, EVP of Strategy and Corporate Development at CA, will be hosting a discussion on a forward look at innovation in corporate strategy. The CA product group will also lead a debate on what’s coming up in the next 18 months to two years.

At the end of the workshops, CA executives will judge student’s innovative ideas. The ideas that came from last year’s workshops included managing prosthetics, mobile apps and a whole range of others. The aim is to help develop innovative and creative thinking, and then armed with this mind on return to Switzerland, the students can help drive future innovation.

The trip aligns with CA Technologies’ corporate social responsibility program (“Create Tomorrow”), designed to nurture the next generation of science, technology, engineering and mathematics (STEM) leaders. The company is already investing CHF 200,000 annually with École Polytechnique Fédérale de Lausanne (EPFL) and HEIG-VD, as part of a five year relationship. CA Technologies is also a member of The European Commission’s Grand Coalition to further facilitate collaboration amongst businesses and education providers to help attract young people to learn ICT subjects, and to address the major shortfall in the development of IT expertise across the continent.

“Our team will help the students contrast the different ways start-ups, small organizations and large corporations innovate. Innovation is in the DNA of the start-ups, but this is not exclusive to new, smaller companies. Large companies deliver significant innovation too. These students will get unique access to experienced innovators at all levels with CA,” said Matthews.

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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.