Designing a wireless network for optimal performance can be challenging. Having established a strong relationship with Mist, we understand the technology deeply. And coupled with comprehensive hands-on experience in Wi-Fi technology, Mist partners can lean on the Dicker Data Networks Team to assist in scoping, designing, planning and delivering a network solution that will meet end user needs. We take a personal approach to our customers, providing as much or as little guidance they might need in navigating the complexity of architecting a network solution.
Partners can be part of the Mist and wider Juniper community here at Dicker Data to access training and enablement sessions, product updates and the latest promotions to take advantage of the innovations Juniper and Mist provide. By combining it with our value-added services, partners can in turn deliver world-class experiences and solutions to their customers.
The Mist platform for the AI-driven enterprise encompasses the following key elements: Mist Cloud, Mist Subscription Services, Mist Edge and Mist Access Points. With the Mist AI Platform, you can think centrally and act locally through a combination of cloud-based intelligence and enterprise-grade Access Points. Revolutionary machine learning technology simplifies Wi-Fi operations and delivers personalised indoor location services.
Mist combines AI automation with microservices agility. The Mist cloud is the first truly innovative approach to always-on wireless in over a decade – combining AI, machine learning and data science with the latest microservices technologies to deliver a smart, scalable solution that optimizes the wireless experience for digital transformation. Key components include Microservices, AI, Machine Learning and Data Science, and Modern Cloud Elements.
Mist enables wireless to be deployed and operated as a service from the Mist Cloud. The Mist System is built on a modern microservices cloud architecture which enables elastic scale to meet your digital transformation needs focusing on operational simplicity, 100% API-based programmability, and end-user engagement through location-based services. AI-driven cloud services include: Wi-Fi Assurance, Wired Assurance, Premium Analytics, Virtual Network Assistant, User Engagement, and Asset Visibility.
Some microservices require specific network functions that need to be handled on-premises, such as tunnel termination and VLAN tagging. Mist Edge extends select microservices to the campus while using the Mist Cloud and its distributed software architecture for scalable, resilient operations, management, troubleshooting, and analytics.
Mist leads the convergence of Wi-Fi, BLE, and IoT with enterprise-grade access points. These products offer data collection, analysis, and policy enforcement, along with machine learning, location services, and event correlation. They also include an expansion port for IoT devices. Mist access points have a dynamic vBLE 16-element antenna array for the industry’s most accurate and scalable location services. Models are available with 802.11ax (Wi-Fi 6) and 802.11ac Wave 2 radio technologies.
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Mist built the first AI-driven platform to give modern businesses an intelligent solution for the digital era, making Wi-Fi predictable, reliable, and measurable whist enabling scalable indoor location services like wayfinding, proximity messaging and asset visibility.
Traditional WLAN solutions, lack the scale, reliability, performance, and agility they need to address today’s challenging and diverse enterprise needs. Meanwhile, IT departments today are looking for a single, cohesive approach for managing wired and wireless networks. What’s needed is a solution that can simplify and automate operations and end-to-end troubleshooting, ultimately evolving into the Self-Driving Network™.
The Mist platform addresses both of these challenges.Designed from the ground up to meet the stringent networking needs of the modern cloud and smart-device era, Mist delivers unique capabilities for the wired and wireless LAN. Mist was acquired by Juniper Networks in 2019