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BMC Innovation Labs Preferred Partner Program Launched

BMC announced the BMC Innovation Labs Preferred Partner Program, a high-touch, extremely collaborative co-innovation program built for, and with, BMC partners and customers.

The program is focused on ideation and experimentation to design and ultimately commercialize modern technology solutions to support customers on their Autonomous Digital Enterprise journey.

The BMC Innovation Labs Preferred Partner Program was created to provide dedicated spaces for partners to develop new and disruptive ideas that go beyond traditional enterprise IT. It embraces fresh thinking and new perspectives, and takes advantage of group ideation through a rich partner ecosystem to anticipate and addresses customers’ needs quickly and more effectively. Customers also support the innovation journey by collaborating with both BMC and its Innovation Labs preferred partners to develop, test, and provide real-time feedback, delivering immediate value.

BMC introduced the Innovation Labs in 2020, and programming is initially focused on co-innovation across industries including oil and gas, retail, customer service, transportation, and communications service providers among others. The program will also focus on developing solutions using technologies like artificial intelligence, machine learning, IoT, knowledge analytics, blockchain, and big data automation.

“BMC has a history of innovation to help our customers continue to transform. Today, we have our eye on the future, and our partners play an important role,” said Ram Chakravarti, CTO. “Our innovation ecosystem aims to bring together some of the industry’s brightest minds to design game-changing solutions, test and apply new technologies – and ultimately build aligned technology roadmaps for commercially viable solutions ...”

Within this ecosystem, selected BMC Innovation Labs preferred partners can expect access to new innovations, support to design game-changing solutions, and aligned technology roadmaps that help provide a faster time-to-value for everyone involved. BMC partners can visit the BMC Innovation Labs Preferred Partner Program website to request consideration for the invitation-only program.

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BMC Innovation Labs Preferred Partner Program Launched

BMC announced the BMC Innovation Labs Preferred Partner Program, a high-touch, extremely collaborative co-innovation program built for, and with, BMC partners and customers.

The program is focused on ideation and experimentation to design and ultimately commercialize modern technology solutions to support customers on their Autonomous Digital Enterprise journey.

The BMC Innovation Labs Preferred Partner Program was created to provide dedicated spaces for partners to develop new and disruptive ideas that go beyond traditional enterprise IT. It embraces fresh thinking and new perspectives, and takes advantage of group ideation through a rich partner ecosystem to anticipate and addresses customers’ needs quickly and more effectively. Customers also support the innovation journey by collaborating with both BMC and its Innovation Labs preferred partners to develop, test, and provide real-time feedback, delivering immediate value.

BMC introduced the Innovation Labs in 2020, and programming is initially focused on co-innovation across industries including oil and gas, retail, customer service, transportation, and communications service providers among others. The program will also focus on developing solutions using technologies like artificial intelligence, machine learning, IoT, knowledge analytics, blockchain, and big data automation.

“BMC has a history of innovation to help our customers continue to transform. Today, we have our eye on the future, and our partners play an important role,” said Ram Chakravarti, CTO. “Our innovation ecosystem aims to bring together some of the industry’s brightest minds to design game-changing solutions, test and apply new technologies – and ultimately build aligned technology roadmaps for commercially viable solutions ...”

Within this ecosystem, selected BMC Innovation Labs preferred partners can expect access to new innovations, support to design game-changing solutions, and aligned technology roadmaps that help provide a faster time-to-value for everyone involved. BMC partners can visit the BMC Innovation Labs Preferred Partner Program website to request consideration for the invitation-only program.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...