SiriusXM Partners with Juniper Mist for AI-Driven Networking Solutions

The SiriusXM use case: Mist AI delivers network management value - SiliconANGLE

SiriusXM supercharges audio experiences with Juniper's AI-driven technology Audio entertainment is a fast-moving space with technology as a key differentiator. Sirius XM Radio Inc., one of America's largest audio entertainment companies, has taken a significant leap by integrating advanced technology from Juniper Networks Inc., particularly through the Mist AI platform. "Most of the folks on my team and myself worked in network engineering for a long time," said Jonathan Orlando (pictured, right), vice president of network engineering at SiriusXM. "Most of the wireless technologies out there are your typical controller-based local access type of rollouts. Mist made a big jump to the cloud-native platform that allows us to manage from one pane of glass, as well as have built-in integration to troubleshoot issues." Orlando and Sudheer Matta (left), senior VP of product management at Juniper, spoke with theCUBE Research's Bob Laliberte at the Juniper Networks AI-Native NOW event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed Mist AI and how SiriusXM's collaboration with Juniper Networks harnesses cloud-native technologies to drive digital transformation. (* Disclosure below.) Mist AI's key advantage lies in its ability to offer a single pane of glass for network management, providing deep visibility and integrated troubleshooting. This has proven invaluable for SiriusXM, where ensuring flawless wireless performance is critical, particularly in such a high-turnaround environment that's intolerant to downtime, according to Orlando. "[It's brought] a significant decrease in reports of issues when it comes to the wireless environment," he said. "The flexibility that it gives us to set up our environments, whether it's a large group of people coming into the studio to record or to do some kind of a production rollout. It significantly reduced our IT support requests over time." The ability to measure and optimize user experiences in real time is becoming increasingly important. Juniper's focus on collecting and analyzing experience data, combined with its AI-driven Marvis Minis feature, is setting a new standard for proactive network management, according to Matta. "We are going down this path of collecting this experience data, collating it with the network and making meaning of it end-to-end," he said. "We launched a feature called Marvis Minis, and what that does is truly turns you proactive to the network -- it's about using AI to create efficiencies. It's about measuring experience so we can deliver a better experience." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Juniper Networks AI-Native NOW event:

The Juniper-Mist partnership and Dartmouth's approach - SiliconANGLE

How the Juniper-Mist partnership aims to enhance connectivity at Dartmouth and beyond AI continues to revolutionize network management, raising the bar for connectivity and reliability across industries. The Juniper-Mist partnership exemplifies this shift, with the scale of data and telemetry driving significant advancements. That networking has led to feedback from customers. Every connection counts, but just having connectivity is not really having a great connection, according to Jean English (pictured, middle), chief marketing officer of Juniper Networks Inc. "When you think through the initial deployment and installation of Mist, what that means to have a great experience, that was really the forefront of the thinking of AI-native networking," English said. "Experience first, experiences on the end user, as well as for the operator." English and Bryan Ward (left), lead infrastructure engineer at Dartmouth College, spoke with theCUBE Research's John Furrier (right) at the Juniper Networks AI-Native NOW event, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed AI-driven networking and the Juniper-Mist partnership. (* Disclosure below.) In networking, obstacles exist, but AI helps to solve them. Prior to Mist, the obstacles faced by Dartmouth included poor connectivity, poor design and bad user experience, according to Ward. "We realized that we needed to completely rearchitect our system. We needed to start fresh, clean slate. Don't bring any of the legacy technology into the future," he said. "We just needed to hit the ground running with something new, something that we know that is going to work for us, and over the years we've learned to trust it as well." Dartmouth was hesitant at first when hearing about the Juniper acquisition, according to Ward. However, its experience with both companies independently meant it didn't need to doubt the initial acquisition. "We started with Mist in 2018. Over the past few years, we've realized that that partnership has really been able to evolve the Mist product, the ecosystem, the AI, into a really groundbreaking technology that we leverage every day," he said. "It runs our campus. It runs everything for us on the network." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of the Juniper Networks AI-Native NOW event: