HomeLatest NewsEnterprise ITJuniper Networks looks to drive AI-driven WAN adoption and leadership across India

Juniper Networks looks to drive AI-driven WAN adoption and leadership across India

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American technology giant, Juniper Networks with an edge in secure, AI-driven networks, has announced that ConnX, an AI-driven communications transformation-as-a-service platform provider, has been appointed as a partner for India and the SAARC region.

According to the announcement, ConnX will help deliver Juniper’s vision of end-to-end AI-driven , insights and action from client-to-cloud and drive the adoption of solutions, including Juniper’s Session Smart across India.

“Over the years, ConnX has demonstrated a strong global track record as an AI-driven communications transformation-as-a-service platform provider for large enterprises. We are delighted to have deepened our global relationship with this India-centric partnership agreement,” Sajan Paul, Managing Director & Country Manager, India & SAARC, Juniper Networks said.

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Juniper Networks is known as a leader in the 2020 Gartner Magic Quadrant for Wired and Wireless LAN Access Infrastructure. The company looks to simplify enterprises operate their networks while improving network users’ experiences using automation and proactive AI-driven operations.

Meanwhile, WAN Assurance and the Marvis Virtual Network Assistant (both driven by Mist AI) have recently been added to the Session Smart network portfolio, creating a true AI-driven SD-WAN solution.

With over 30 years of experience driving the digital transformation of large Fortune 500 enterprises, ConnX has been a long-time 128 Technology partner, having designed, implemented and supported over 5,000 sites across AMER and EMEA.

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The new local partnership agreement will also allow ConnX to expand its remit into the Indian market – and help customers across India transition from fragmented and siloed communications services toward an integrated, AI-driven, multi-service collaboration platform powered by Juniper Networks.

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