Every Connection Counts: AI-native Network Management Required.

The old networking world: "green light" instead of user experience

From digital transformation and AI initiatives to user and device growth, networks are being asked to do more and more. However, as IT budgets are not growing with them and companies are facing numerous other challenges ranging from a lack of skills to a lack of availability, the combination of complexity and unpredictability of traditional networks is increasingly becoming a burden.

Traditional network management measures the status of a network based on technical parameters: green light = all good. However, this approach now falls short. Whether employees are in video conferences, patient records are accessed digitally or production systems are synchronized in real time - it is not whether a connection is up and running, but how well it works. It's about the real experience.

The new world of networking: experience-first with AI

This is exactly where Juniper Networks comes in with its AI-supported "Experience-First Networking" concept. With the help of artificial intelligence, the network can not only be better monitored, but also proactively controlled.

The AI recognizes problems before the first call is received by the helpdesk. It analyzes telemetry data in real time - from WLAN access points to switches and cloud applications. With the intelligent network assistant Marvis, IT administrators can communicate directly: "What's wrong with the Teams session?" - and receive an in-depth diagnosis in seconds. This turns a problem into a plannable impulse for action.

Networking vision: A network that not only "works", but also understands, learns and supports.

Juniper's AI-native network platform utilizes the full potential of artificial intelligence. It provides reliable and secure campus, branch, data center and WAN networks with real-time fault isolation, proactive anomaly detection and fully automated actions. Juniper utilizes a modern microservices-based design to provide unmatched agility, scalability and resiliency.

This makes it easy to add or remove new features, implement new enhancements, and deploy fixes without disrupting network service. Elastic and on-demand scaling of services avoids the costs and complications associated with monolithic hardware infrastructures.

The benefits of AI networking: more control, less stress

• Clear priorities for day-to-day IT work (especially on Monday mornings)
• Fast problem analysis across all network areas
• Fewer service tickets, less downtime
• Greater satisfaction among employees and customers

What this looks like in practice

Watch Juniper Networks' presentation at InfoGuard Innovation Day in full - with real-life examples, use cases and an insight into the future of network management.

Ensure every connection - for every device, user and application - is reliable, measurable and secure with the industry's first AI-native networking platform. Want to learn more about this self-learning network platform from Juniper Networks? Then contact our Juniper team of experts for a no-obligation consultation.

Caption: Image generated with AI