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Juniper Networks Announces Blueprint for AI-Native Acceleration

Juniper Networks announced its Blueprint for AI-Native Acceleration to streamline and accelerate each stage of adoption of the company’s AI-Native Networking Platform.

With this framework, which includes free education to quickly ramp knowledge and skills with limited resources, exclusive trial offers to easily validate the benefits of Juniper’s AI-Native Networking Platform solutions, flexible licensing to simplify procurement and innovative support services to expedite deployment and enable optimized ongoing performance, customers and partners can build trust in AI and the cloud and accelerate time-to-value for Juniper’s entire secure networking portfolio, from campus and branch to data center and wide-area networking (WAN).

Juniper’s AI-Native Networking Platform is purpose-built to leverage AIOps that enable exceptional end-user experiences and simplified, end-to-end operator experiences. The platform leverages the right data, the right real-time responses and the right infrastructure, enabling every connection to be reliable, measurable and secure for every device, user, application and asset. Benefits of the Juniper AI-Native Networking Platform include up to 85 percent reduction in OPEX and up to 90 percent fewer network trouble tickets. With the Blueprint for AI-Native Acceleration, customers and partners can reap similar benefits of up to 9x faster deployments.

Juniper’s Blueprint for AI-Native Acceleration simplifies how enterprises can reap the proven benefits of its AI-Native Networking Platform across all phases of solution evaluation, design, deployment, adoption and operation.

The Blueprint for AI-Native Acceleration currently comprises:

■ Learn: Targeted training courses designed to make the journey to an AI-Native Networking Platform faster, easier and more efficient. Juniper offers the only AI in Networking course for Business Leaders, a complimentary course which explores how AIOps can be used strategically to optimize network operations, driving exponential business value while saving time, money and valuable resources. In addition, Juniper has a range of hands-on classes and actionable certifications that help IT practitioners plan and start their AI-Native Networking Platform journey with confidence. These cover key products and technologies such as AIOps, wireless, switching, routing, security, cloud and automation. These Juniper classes are being offered free-of-charge as part of the Blueprint for AI-Native Acceleration.

■ Try: Limited time offers make it easy to “kick the tires” with Juniper AI-Native products. Juniper provides a range of programs available to qualified applicants that make it exceptionally easy and cost-effective to try out various solutions within the Juniper AI-Native Networking Platform. Examples include:

- Wireless: Free Access Point and 90 Day trial of Juniper’s wireless assurance software (available in the US only).

- Full stack (campus and branch): AI on US provides a restricted amount of Access Points and software packaged and heavily discounted.

- Data center: Advanced license for Juniper Apstra data center assurance software for the cost of a standard license. Also, customers and partners are welcome to access the industry's first Ops4AI Lab, hosted by Juniper, to easily validate performance and functionality of their AI models and workloads.

- WAN routing: Free Flexible Service Credits to apply towards migration services and training, free first year of support including Juniper Support Insights, plus free 3-year trial of the Juniper® Paragon Automation (2.0) Platform.

- Security: Buy one year’s security subscription, get two years free.

- Juniper Support Insights: Free-of-charge support offer to enhance customer support experience.

■ Buy: Juniper offers flexible licensing, with subscription options with various terms, depending upon the product. In addition, the following purchasing options drive even more flexibility for customers and partners:

- Enterprise Agreements: New custom and packaged Enterprise Agreement (EA) options make it easy to manage a large number of licenses with staggered deployment on a coterminous basis.

- Network as a Service (NaaS): Juniper provides the ability to procure networks via a periodic payment plan or fixed-term subscriptions, via its Managed Network Partners.

■ Design, Deploy and Operate: Juniper is announcing new next-generation AI-Native services for Campus and Branch, Juniper AI Care Services, that leverage AI to transform how support services are delivered, enhancing efficiency and elevating customer satisfaction.

Customers can design and deploy Mist solutions for wired, wireless, and SD-WAN networks with confidence and speed using Juniper Mist AI Accelerate Service, which provides assistance and expertise to help realize benefits immediately and improve time to value. Juniper Data Center Deployment Services utilize Juniper’s exceptional professional services organization to blueprint, validate, and deploy new data center network infrastructure using Juniper Apstra. Similarly, for our WAN solutions, Juniper Paragon Automation Deployment Services provide a fast track for enabling business outcomes.

Juniper Validated Designs (JVDs) are detailed implementation documents that give new customers confidence that their chosen solution and topology is well characterized, well tested, repeatable and can be successfully deployed in good time. All JVDs are proven, real-world integrated solutions, tested in best practice designs based on specific platforms and software versions.

Juniper AI Care Services transform the support experience across the full life cycle from manual and reactive to automated and proactive. Depending on the service level chosen, Juniper AI Care services include 24/7 remote technical support and insights, dedicated solution onboarding support and knowledge transfer webinars, Juniper Support Insights, a single-point-of-contact service advocate for proactive account management, proactive health checks and comprehensive deployment services that cover design, deployment and validation. 

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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.

Juniper Networks Announces Blueprint for AI-Native Acceleration

Juniper Networks announced its Blueprint for AI-Native Acceleration to streamline and accelerate each stage of adoption of the company’s AI-Native Networking Platform.

With this framework, which includes free education to quickly ramp knowledge and skills with limited resources, exclusive trial offers to easily validate the benefits of Juniper’s AI-Native Networking Platform solutions, flexible licensing to simplify procurement and innovative support services to expedite deployment and enable optimized ongoing performance, customers and partners can build trust in AI and the cloud and accelerate time-to-value for Juniper’s entire secure networking portfolio, from campus and branch to data center and wide-area networking (WAN).

Juniper’s AI-Native Networking Platform is purpose-built to leverage AIOps that enable exceptional end-user experiences and simplified, end-to-end operator experiences. The platform leverages the right data, the right real-time responses and the right infrastructure, enabling every connection to be reliable, measurable and secure for every device, user, application and asset. Benefits of the Juniper AI-Native Networking Platform include up to 85 percent reduction in OPEX and up to 90 percent fewer network trouble tickets. With the Blueprint for AI-Native Acceleration, customers and partners can reap similar benefits of up to 9x faster deployments.

Juniper’s Blueprint for AI-Native Acceleration simplifies how enterprises can reap the proven benefits of its AI-Native Networking Platform across all phases of solution evaluation, design, deployment, adoption and operation.

The Blueprint for AI-Native Acceleration currently comprises:

■ Learn: Targeted training courses designed to make the journey to an AI-Native Networking Platform faster, easier and more efficient. Juniper offers the only AI in Networking course for Business Leaders, a complimentary course which explores how AIOps can be used strategically to optimize network operations, driving exponential business value while saving time, money and valuable resources. In addition, Juniper has a range of hands-on classes and actionable certifications that help IT practitioners plan and start their AI-Native Networking Platform journey with confidence. These cover key products and technologies such as AIOps, wireless, switching, routing, security, cloud and automation. These Juniper classes are being offered free-of-charge as part of the Blueprint for AI-Native Acceleration.

■ Try: Limited time offers make it easy to “kick the tires” with Juniper AI-Native products. Juniper provides a range of programs available to qualified applicants that make it exceptionally easy and cost-effective to try out various solutions within the Juniper AI-Native Networking Platform. Examples include:

- Wireless: Free Access Point and 90 Day trial of Juniper’s wireless assurance software (available in the US only).

- Full stack (campus and branch): AI on US provides a restricted amount of Access Points and software packaged and heavily discounted.

- Data center: Advanced license for Juniper Apstra data center assurance software for the cost of a standard license. Also, customers and partners are welcome to access the industry's first Ops4AI Lab, hosted by Juniper, to easily validate performance and functionality of their AI models and workloads.

- WAN routing: Free Flexible Service Credits to apply towards migration services and training, free first year of support including Juniper Support Insights, plus free 3-year trial of the Juniper® Paragon Automation (2.0) Platform.

- Security: Buy one year’s security subscription, get two years free.

- Juniper Support Insights: Free-of-charge support offer to enhance customer support experience.

■ Buy: Juniper offers flexible licensing, with subscription options with various terms, depending upon the product. In addition, the following purchasing options drive even more flexibility for customers and partners:

- Enterprise Agreements: New custom and packaged Enterprise Agreement (EA) options make it easy to manage a large number of licenses with staggered deployment on a coterminous basis.

- Network as a Service (NaaS): Juniper provides the ability to procure networks via a periodic payment plan or fixed-term subscriptions, via its Managed Network Partners.

■ Design, Deploy and Operate: Juniper is announcing new next-generation AI-Native services for Campus and Branch, Juniper AI Care Services, that leverage AI to transform how support services are delivered, enhancing efficiency and elevating customer satisfaction.

Customers can design and deploy Mist solutions for wired, wireless, and SD-WAN networks with confidence and speed using Juniper Mist AI Accelerate Service, which provides assistance and expertise to help realize benefits immediately and improve time to value. Juniper Data Center Deployment Services utilize Juniper’s exceptional professional services organization to blueprint, validate, and deploy new data center network infrastructure using Juniper Apstra. Similarly, for our WAN solutions, Juniper Paragon Automation Deployment Services provide a fast track for enabling business outcomes.

Juniper Validated Designs (JVDs) are detailed implementation documents that give new customers confidence that their chosen solution and topology is well characterized, well tested, repeatable and can be successfully deployed in good time. All JVDs are proven, real-world integrated solutions, tested in best practice designs based on specific platforms and software versions.

Juniper AI Care Services transform the support experience across the full life cycle from manual and reactive to automated and proactive. Depending on the service level chosen, Juniper AI Care services include 24/7 remote technical support and insights, dedicated solution onboarding support and knowledge transfer webinars, Juniper Support Insights, a single-point-of-contact service advocate for proactive account management, proactive health checks and comprehensive deployment services that cover design, deployment and validation. 

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.