Juniper Mist AI dramatically reduces helpdesk tickets, streamlines IT overhead, raises productivity
Juniper Networks a leader in secure, AI-driven networks, and NEC Corporation a leading global IT and network transformation services provider, today announced that they have been selected by Raízen, a global leader in bio-energy solutions, to design and deploy an innovative new Wi-Fi network for its headquarters in São Paulo and offices in Piracicaba, Brazil. In a competitive bid that ousted the legacy provider, the Juniper Mist AI™ solution was chosen to revolutionize the online experience for Raízen’s workforce across its main campus. This Artificial Intelligence for IT Operations (AIOps) approach to Wi-Fi provisioning is also expected to dramatically streamline the IT helpdesk function for Raízen, which is one of Brazil’s largest private business groups.
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The Juniper solution has quickly become Raízen’s standard Wi-Fi platform, completely replacing the incumbent solution. (Juniper Networks was named a Leader in the 2021 Gartner® Magic Quadrant™ for Enterprise Wired and Wireless LAN Infrastructure.) With the consultancy and implementation services provided by Juniper’s key global partner NEC, the new platform provides automated and real-time data insights into exactly what Raízen’s users, devices and sites are experiencing on the network. In addition, by using actionable data from individual users, Mist AI provides tailored feedback and proactive support, as well as correlated, AI-driven insights into the network’s overall ongoing health and performance.
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The Mist AI solution features enterprise networking’s first virtual network assistant that provides a conversational AI interface, known as Marvis. This unique feature enables Raízen’s IT team to interact with an automated, intelligent tool that understands user intent and delivers improved value and quality of returned results. Marvis can contextualize requests to accelerate troubleshooting workflows, answer product or feature specific questions, provide information about the network and help find any type of network device. Ultimately, this improves specific user experiences by learning from user feedback.
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