Juniper Networks has unveiled its AI-Native Networking Platform purpose-built to leverage AI to assure the best end-to-end operator and end-user experiences.
Trained on seven years of insights and data science development, the platform was designed from the ground up to ensure that every connection is reliable, measurable and secure for every device, user, application, and asset.
It unifies all campus, branch and data centre 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 deep insight, automated troubleshooting and seamless end-to-end networking assurance.
IT teams are freed from maintaining basic network connectivity to delivering secure end-to-end experiences for students, staff, patients, guests, customers and employees.
The AI-Native Networking Platform is said to provide the simplest and most assured Day 0/1/2+ operations that translate to up to 85 percent lower operational expenditures compare to traditional solutions. It reduce up to 90 percent of network trouble tickets, 85 percent of IT onsite visits and up to 50 percent in network incident resolution times.
“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,” said Rami Rahim (top), Chief Executive Officer of Juniper Networks.
Entelechy Asia 