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Companies are under growing pressure to reduce IT service costs without reducing service quality – so they are looking to the cloud , Artificial Intelligence ( AI ) and machine learning ( ML ) to solve this paradox . Users are demanding better connectivity , and networks are supporting more devices and applications than ever . In the world of Wi-Fi and WLAN management , IT executives have relied on controllerbased architectures that just don ’ t deliver the scale , resiliency , agility and elasticity needed for today ’ s business requirements .

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In this white paper , we ’ ll explore how moving WLAN management services from on-premises controllers to a microservices cloud architecture provides substantial cost savings and ROI . We will also explain how Juniper with Mist AI simplifies WLAN deployment and ongoing management , provides faster access to new features and functionality and delivers the agility to scale dynamically as network needs change . Juniper has revolutionized the 24x7 , always-on WLAN with cloud microservices and AI to create a wireless experience that is second to none .

Introduction

Companies are moving key applications like CRM , HR , and finance to the cloud to maximize IT efficiency , minimize IT costs and improve the overall agility of business operations . For the same reasons , key infrastructure elements like security and storage are also being transitioned to the cloud .

Moving wireless to the cloud gives CIOs a more scalable and resilient infrastructure with better operational simplicity and efficiency . CIOs are increasingly looking to automate aspects of their WLAN environments , from provisioning equipment to onboarding users and tracking operations within the networks . The goal of a modern WLAN is not just to provide wireless connectivity but also to provide exceptional user experiences .

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