Juniper Networks says that it has released the industry’s “first” AI-Native Networking Platform, with the aim to leverage artificial intelligence (AI) to assure high standard end-to-end operator and end-user experiences.
Trained on seven years of insights and data science development, Juniper’s AI-Native Networking Platform was designed from the ground up to assure that every connection is reliable, measurable and secure for every device, user, application and asset.
Juniper’s AI-Native Networking Platform unifies all campus, branch and data center networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA).
This enables end-to-end AI for IT operations (AIOPS) to be used for insight, automated troubleshooting and end-to-end networking assurance, which elevates IT teams’ focus from maintaining basic network connectivity to delivering secure end-to-end experiences for students, staff, patients, guests, customers and employees, the company says.
According to Juniper Networks, its AI-Native Networking Platform provides simple and assured day 0/1/2+ operations, resulting in up to 85% lower operational expenditures than traditional solutions, demonstrates the elimination of up to 90% of network trouble tickets, 85% of IT onsite visits and up to 50% reduction in network incident resolution times.
“AI is the biggest technology inflection point since the internet itself, and its ongoing impact on networking cannot be understated,” said Rami Rahim, Chief Executive Officer, Juniper Networks.
“At Juniper, we have seen first-hand how our game changing AIOps has saved thousands of global enterprises significant time and money while delighting the end user with a superior experience.
“Our AI-Native Networking Platform represents a bold new direction for Juniper and for our industry.
“By extending AIOps from the end user all the way to the application, and across every network domain in between, we are taking a big step toward making network outages, trouble tickets and application downtime things of the past.”