Latest news with #SudheerMatta
Channel Post MEA
15-05-2025
- Business
- Channel Post MEA
Juniper Delivers Expanded Client-to-Cloud Insights and Self-Driving Network Operations
Juniper Networks announced key innovations in the Mist AI-native networking platform , bringing expanded insight and assurance to wired , wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. 'The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,' said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. 'These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis—digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance—setting the stage for a foundational shift to agentic AI in the networking industry.' Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client , an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android, Windows and macOS devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. 0 0
Channel Post MEA
09-05-2025
- Business
- Channel Post MEA
Juniper Networks Expands AI-Native Networking Platform Mist With New Insights And Assurance
Juniper Networks has announced key innovations in the Mist AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. 'The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,' said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. 'These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis—digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance—setting the stage for a foundational shift to agentic AI in the networking industry.' Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. 'Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting,' said Andy Lorenc, Network Engineer, Robert Half. 'That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier—another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment.' Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android®, Windows® and macOS devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. 'To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment,' said Bob Laliberte, Principal Analyst, theCUBE Research. 'By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments.'
Techday NZ
08-05-2025
- Business
- Techday NZ
Juniper unveils Mist AI updates to boost network automation
Juniper Networks has announced updates to its Mist AI-native networking platform, which include new automated network issue resolution, expanded monitoring across environments, and improved device-side telemetry capabilities. The new features introduced in the Mist platform focus on providing greater visibility and control for enterprises managing increasingly complex networks. The enhancements are designed to deliver expanded insights and assurance to users across wired, wireless, and wide area network (WAN) environments. A key component of the upgrade is the Marvis Minis digital experience monitoring, which now offers end-to-end analysis from client to cloud. Marvis Minis enables users to baseline and pinpoint where application performance may be suffering, with no requirement for additional agents or sensors. The latest version delivers new service level expectations (SLEs), supporting increased visibility into application performance at the site, across sites, in different regions, and within individual internet service providers. "The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences," said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. "These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis—digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance—setting the stage for a foundational shift to agentic AI in the networking industry." Marvis Minis is engineered to provide comprehensive monitoring and swift identification of performance problems, aiming to resolve issues before they impact end user experience. The platform extension is intended to make troubleshooting network and application issues faster and more efficient in both public and private cloud environments. Andy Lorenc, Network Engineer at Robert Half, commented on their experience with Marvis Minis, stating: "Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting. That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier—another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment." Alongside these monitoring capabilities, a new Marvis Actions dashboard has been introduced. This visual dashboard focuses on self-driving network operations and allows IT teams to manage and maintain full control over when and how automated tasks are enabled. The dashboard also provides users with a history of all proactive actions taken, whether autonomous or assisted, along with information on how each issue was identified and resolved by Marvis AI Assistant. Complementing these updates, the Marvis Client now brings device-side telemetry from Android, Windows, and macOS devices. The system collects data on device type, operating system, radio hardware, firmware, and connectivity metrics, which is then processed by the Mist cloud for actionable insights. This approach is achieved without requiring additional agents or hardware sensors, reducing complexity and associated costs for network operators. The ability of Marvis Client to capture and transmit telemetry in near real-time is designed to provide IT departments with a clearer understanding of user experiences and to aid in identifying and resolving issues affecting user performance. When combined with data from Juniper access points, routers, switches, and firewalls, IT teams can address problems promptly and consistently, contributing to the maintenance of high-quality user experiences. The updated platform fits into a broader industry trend towards more automated, AI-driven network operations, as organisations seek to adapt to environments with rising complexity and distributed assets. Bob Laliberte, Principal Analyst at theCUBE Research, commented on the developments. "To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment. By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments."
Associated Press
07-05-2025
- Business
- Associated Press
Juniper Networks Delivers the Next Era of AI-Native Innovation with Expanded Client-to-Cloud Insights and Self-Driving Network™ Operations
SUNNYVALE, Calif.--(BUSINESS WIRE)--May 7, 2025-- Juniper Networks®, a leader in secure, AI-native networking, today announced key innovations in the Mist™ AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. 'The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,' said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. 'These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis—digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance—setting the stage for a foundational shift to agentic AI in the networking industry.' Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. 'Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting,' said Andy Lorenc, Network Engineer, Robert Half. 'That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier—another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment.' Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android®, Windows® and macOS® devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. 'To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment,' said Bob Laliberte, Principal Analyst, theCUBE Research. 'By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments.' Additional Resources: Register Today: Juniper Demo Webinar | How Marvis Simplifies Network Management Blog: New Marvis Capabilities Enhance Juniper AI Care Services Marvis AI Assistant documentation About Juniper Networks Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-native networking platform is built from the ground up to leverage AI to deliver exceptional, highly secure, and sustainable user experiences from the edge to the data center and cloud. Additional information can be found at Juniper Networks ( ) or connect with Juniper on X (Twitter), LinkedIn, and Facebook. Juniper Networks, the Juniper Networks logo, Juniper, Junos, and other trademarks listed here, are registered trademarks of Juniper Networks, Inc. and/or its affiliates in the United States and other countries. Android is a trademark of Google LLC. macOS is a trademark of Apple Inc., registered in the U.S. and other countries and regions. Other names may be trademarks of their respective owners. View source version on CONTACT: Media Relations: Pelin Murphy Juniper Networks [email protected] +44 (0) 1372 385 686 KEYWORD: UNITED STATES NORTH AMERICA CALIFORNIA INDUSTRY KEYWORD: DATA MANAGEMENT TECHNOLOGY SOFTWARE NETWORKS ARTIFICIAL INTELLIGENCE INTERNET SOURCE: Juniper Networks Copyright Business Wire 2025. PUB: 05/07/2025 07:45 AM/DISC: 05/07/2025 07:44 AM
Business Wire
07-05-2025
- Business
- Business Wire
Juniper Networks Delivers the Next Era of AI-Native Innovation with
SUNNYVALE, Calif.--(BUSINESS WIRE)-- Juniper Networks®, a leader in secure, AI-native networking, today announced key innovations in the Mist™ AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. 'The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,' said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. 'These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis—digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance—setting the stage for a foundational shift to agentic AI in the networking industry.' Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. 'Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting,' said Andy Lorenc, Network Engineer, Robert Half. 'That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier—another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment.' Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android®, Windows® and macOS® devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. 'To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment," said Bob Laliberte, Principal Analyst, theCUBE Research. "By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments." Additional Resources: About Juniper Networks Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-native networking platform is built from the ground up to leverage AI to deliver exceptional, highly secure, and sustainable user experiences from the edge to the data center and cloud. Additional information can be found at Juniper Networks ( or connect with Juniper on X (Twitter), LinkedIn, and Facebook. Juniper Networks, the Juniper Networks logo, Juniper, Junos, and other trademarks listed here, are registered trademarks of Juniper Networks, Inc. and/or its affiliates in the United States and other countries. Android is a trademark of Google LLC. macOS is a trademark of Apple Inc., registered in the U.S. and other countries and regions. Other names may be trademarks of their respective owners.
