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Dimension Data and EMC Form The Catalyst Alliance to Support Hybrid Cloud

Dimension Data and EMC announced the Catalyst Alliance, a strategic market development initiative designed to speed the adoption of hybrid cloud as a platform for transformation for the mid-size enterprise.

Through the Catalyst Alliance both organizations will make investments to develop and jointly market and sell solutions that allow clients to realize value from business strategies based on hybrid cloud and enable them to adopt new technology while managing risk.

Through the new initiative, Dimension Data and EMC plan to deliver clients comprehensive solutions that span private cloud on or off premises, public and hybrid cloud including advanced managed services for storage. Catalyst Alliance solutions feature flexible consumption based pricing models on storage, cloud and managed services. To ensure client success, a dedicated team of sales, technical and marketing specialists from Dimension Data and EMC will align client workloads and applications to the best solutions.

"For many organizations, 'hybrid cloud' is a consequence of uncoordinated cloud investments rather than a strategy for getting more from their cloud investments," noted Rick Villars, VP of Datacenter & Cloud Research at IDC. "Partnerships like Dimension Data and EMC's Catalyst Alliance that facilitate companies' cloud time-to-value while reducing the risk of disruption in IT operations will help companies move from beyond simply having a hybrid set of clouds to enacting a sound, diversified cloud strategy."

Stephen Smith, CTO, Lennar Corporation explained, “Among the vendors that we deal with there is a complex web of partnerships and alliances. As a company, we like to see companies working together that create additional value for Lennar. The partnership between EMC and Dimension Data is a great example of a partnership that delivers additional value.”

Steve Nola, Dimension Data's Group Executive for IT-as-a-Service, said, “The Catalyst Alliance will help clients realize the benefits of hybrid cloud that will be used to serve core business applications anywhere in the world. We like EMC's commitment to disruptive innovation to help clients navigate IT transformation. By combining EMC's technology leadership with Dimension Data's extensive services portfolio and global reach, clients are able to accelerate their growth, creating value for their customers and financial returns for their shareholders.”

Jay Snyder, SVP, Global Alliances at EMC Corporation, said, “Customers are being challenged with changing business models and more technology choices than ever before. This disruption is creating transformational opportunity. Businesses across all industries are swiftly moving to reinvent themselves for a new Digital Age, where technology is used to grow, innovate, enhance customer relationships and make employees more productive. This alliance will enable those transformations both through scale and speed.”

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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 ...

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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.

Dimension Data and EMC Form The Catalyst Alliance to Support Hybrid Cloud

Dimension Data and EMC announced the Catalyst Alliance, a strategic market development initiative designed to speed the adoption of hybrid cloud as a platform for transformation for the mid-size enterprise.

Through the Catalyst Alliance both organizations will make investments to develop and jointly market and sell solutions that allow clients to realize value from business strategies based on hybrid cloud and enable them to adopt new technology while managing risk.

Through the new initiative, Dimension Data and EMC plan to deliver clients comprehensive solutions that span private cloud on or off premises, public and hybrid cloud including advanced managed services for storage. Catalyst Alliance solutions feature flexible consumption based pricing models on storage, cloud and managed services. To ensure client success, a dedicated team of sales, technical and marketing specialists from Dimension Data and EMC will align client workloads and applications to the best solutions.

"For many organizations, 'hybrid cloud' is a consequence of uncoordinated cloud investments rather than a strategy for getting more from their cloud investments," noted Rick Villars, VP of Datacenter & Cloud Research at IDC. "Partnerships like Dimension Data and EMC's Catalyst Alliance that facilitate companies' cloud time-to-value while reducing the risk of disruption in IT operations will help companies move from beyond simply having a hybrid set of clouds to enacting a sound, diversified cloud strategy."

Stephen Smith, CTO, Lennar Corporation explained, “Among the vendors that we deal with there is a complex web of partnerships and alliances. As a company, we like to see companies working together that create additional value for Lennar. The partnership between EMC and Dimension Data is a great example of a partnership that delivers additional value.”

Steve Nola, Dimension Data's Group Executive for IT-as-a-Service, said, “The Catalyst Alliance will help clients realize the benefits of hybrid cloud that will be used to serve core business applications anywhere in the world. We like EMC's commitment to disruptive innovation to help clients navigate IT transformation. By combining EMC's technology leadership with Dimension Data's extensive services portfolio and global reach, clients are able to accelerate their growth, creating value for their customers and financial returns for their shareholders.”

Jay Snyder, SVP, Global Alliances at EMC Corporation, said, “Customers are being challenged with changing business models and more technology choices than ever before. This disruption is creating transformational opportunity. Businesses across all industries are swiftly moving to reinvent themselves for a new Digital Age, where technology is used to grow, innovate, enhance customer relationships and make employees more productive. This alliance will enable those transformations both through scale and speed.”

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.