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3 min

How Digitization Improves User Experience in Enterprise Networking

Learn how our partners at Juniper Networks digitize the user experience with their Juniper AI-Driven Enterprise product portfolio.

People sitting in front of a computers working in an office setting.

Enterprise networking continues to evolve in a swiftly changing IT landscape where digital readiness and maturity have become the focal point for all verticals. The trends we continue to observe include an increase in remote workforce and hybrid working environments at scale, the transition to cloud for primary workloads, a move towards OPEX based consumption models for IT teams and the ever-increasing use of collaboration tools to bring users together across all sectors.

CDW always leads such customer conversations with questions around data availability as it stands today and how useful that data is for business outcomes. This approach is foundational to embrace a desired end state where the proposed solution caters to data availability, reliability, relevance and completeness with a unified management and orchestration platform that brings about seamless user experience for enterprise networks.

How Juniper Networks digitizes the user experience

Our partners at Juniper Networks take a similar approach to digitize the user experience with their Juniper AI-Driven Enterprise product portfolio, driven by Mist AI, a cloud-hosted, AI-driven network management platform that delivers a reliable and efficient network (wired and wireless) for companies with the end goal of an exceptional user experience. It rests on a distributed microservices cloud architecture that delivers functionality, agility and elasticity to enterprise networks.

Besides the conventional design, deploy and manage capabilities that overlap across the competitive landscape with centralized management, Mist AI aims at being futuristic with subtle innovations to the platform, particularly Day-2 operations, and leans heavily on a cloud-based AI architecture to immediately identify and solve network problems. The use of an AI engine is central to step up user experience, as much depends on the quality and relevance of data ingested into the data-science toolkit, and the ability to execute benchmark machine learning algorithms to test, train and build the right models with phenomenal problem-solving accuracy in real time.

Juniper is targeting a two-fold outcome with Mist AI encompassing wired, wireless and WAN assurance. For IT users, it means faster deployments through simplified management and built-in automation that makes it easy to onboard hundreds of devices in a single day, connecting thousands of users. With advanced analytics at the core, the network is designed to be self-aware by constantly looking for recurring problems caused by hardware or software across the network to proactively address problems and accelerate the mean time to resolution.

How end users benefit from network digitization

For end users, this means continuously measuring network experience based on user experience by fusing location and network context. Mist AI is architecturally different in that it does not rely on agents for data collection but has the flexibility to do so if more granularity is needed to boost AI performance. Ingesting data from all the different pieces answers the question of why users have a bad user experience.

A selective list of Mist AI features that stand out today include:

  • AI-driven actions for proactive recommendations
  • Marvis Virtual Network Assistant (VNA)
  • Proactive optimization of wireless performance
  • Dynamic packet capture for troubleshooting
  • Proactive root-cause identification
  • Network automation with APIs
  • 16-element virtual BLE antenna
  • Contact tracing & zone congestion
  • AI-driven RRM

Juniper, driven by Mist AI at its core, is a solid platform that leverages data analytics and insights to accelerate problem solving, simplify network management and boost service levels, all aimed at enabling a rich and seamless digital experience.

By Fasih Khan, Sr. Field Solutions Architect