
{"id":686,"date":"2019-02-01T08:19:00","date_gmt":"2019-02-01T16:19:00","guid":{"rendered":"http:\/\/54.162.134.254\/?p=686"},"modified":"2020-03-15T12:46:08","modified_gmt":"2020-03-15T20:46:08","slug":"relay2-integrated-with-aprecomm-ai-engine-and-rolls-out-ai-enabled-wi-fi-connectivity-services","status":"publish","type":"post","link":"http:\/\/jp.relay2.com\/jp\/relay2-integrated-with-aprecomm-ai-engine-and-rolls-out-ai-enabled-wi-fi-connectivity-services\/","title":{"rendered":"Relay2 integrated with Aprecomm AI Engine and rolls out AI enabled Wi-Fi connectivity services"},"content":{"rendered":"<p><strong>Milpitas, January 3<\/strong><strong>0, 201<\/strong><strong>9<\/strong>&nbsp;\u2013 Relay2, a leading innovator in cloud managed WiFi and edge computing platform solutions, has announced that it has fully integrated Aprecomm\u2019s Evolv<sup>TM<\/sup>&nbsp;AI Engine. By bundling both companies\u2019 expertise, Mobile Network Operators and Managed Service Providers get the ability to proactively monitor and measure the Wireless Experience of the connected devices, understand their demographics and behavioral patterns and get insights to improve reliability and performance of the network. Those measurable improvements lead to lower maintenance cost and improved customer satisfaction.<\/p>\n\n\n\n<p>This is made possible by Aprecomm\u2019s Evolv<sup>TM<\/sup>&nbsp;AI engine which harvests and processes the wealth of information generated by connected wireless devices and other active network components. Processing of time critical data is done right at the edge leveraging Relay2\u2019s powerful edge computing platform, reporting learnings back to the cloud service. Combining the per-site learnings in the cloud will allow to apply best practices and configurations across the customer base, enabling the network to adapt and optimize itself for an ever-changing environment.<\/p>\n\n\n\n<p>Aprecomm\u2019s Evolv<sup>TM<\/sup>&nbsp;engine will make the learned and derived insights easily accessible through a natural language interface called the \u201cVirtual Wireless Expert\u201d \u2013 giving you real and direct answers to your networking quest<\/p>\n\n\n\n<p>Commenting on the announcement, Pramod Gummaraj, Co-Founder and CEO of Aprecomm AI said:&nbsp;<em>\u201cWe are delighted to collaborate with Relay2. Relay2 is a well-known brand in the industry and our strategy continues to be focused around working with trusted names to ensure WiFi users can access reliable and maintenance free WiFi reducing their TCO and ensuring quick ROI\u201d<\/em>.<\/p>\n\n\n\n<p>Eric Chen, founder and CTO at Relay2, stated,&nbsp;<em>\u201cWe are happy to work with Aprecomm and integrate their Evolv<sup>TM&nbsp;<\/sup>AI Engine into our platform. This brings learning to the edge and Pervasive Knowledge into our cloud which can now Automate Wireless IT configuration management and bringing unmatched Wireless Experience to the customers. Relay2 WiFi Access Points can now learn and self-optimize based on the user\u2019s needs\u201d.<\/em><\/p>\n\n\n\n<p>Guharajan Sivakumar, Co-Founder and CTO at Aprecomm adds:&nbsp;<em>\u201cWith our Core expertise in WiFi, Deep Learning and Cloud computing, we have designed a VWE agent using the untapped edge computing power of Relay2\u2019s Access Point. The agent extracts behavioral patterns and meta information from large unstructured data from the edge to provide valuable insights to corner case issues and simultaneously measures the Quality of Experience. Thanks to Relay2 high performance powerful edge computing WiFi Access Points. Combined with the Evolv<sup>TM<\/sup>&nbsp;engine, can provide end users a really solid WiFi connectivity and end-to-end feedback system ensuring ongoing enhanced user experience.<\/em><\/p>\n\n\n\n<p><strong>About&nbsp;<a href=\"https:\/\/www.aprecomm.ai\/\">Aprecomm<\/a><\/strong><\/p>\n\n\n\n<p>Aprecomm\u2019s vision is to bring intelligence into Edge Devices transforming them to Self-Organizing Devices enabling new Business Models and A.I applications. Aprecomm was founded in 2016 by a group of distinguished engineers with backgrounds from Atheros, Qualcomm, Motorola and Amazon.<\/p>\n\n\n\n<p>Aprecomm with its combined expertise in WiFi and Data science have developed industries first AI stack for WiFi OEMs that can be easily integrated to automate WIFI configuration management and measure customer experience in real time.<\/p>\n\n\n\n<p><strong>About Relay2<\/strong><\/p>\n\n\n\n<p>Relay2 has developed a unique WiFi access and edge computing platform designed to enable Mobile Network Operators, Wireline Carriers and Managed Service Providers to create and monetize horizontal and vertical business applications and services on top of a high-performance, cloud managed WiFi network. Relay2 provides the only WiFi network solution with the ability to host rich multimedia content like video and presentations as well as custom Applications directly on their Access Points. This approach eliminates latencies and lowers backhaul traffic requirements by delivering content directly from the AP to the connected WiFi device.<\/p>\n\n\n\n<p>Relay2 was founded in 2011 by technology leaders with backgrounds at Cisco, Juniper Networks, Nokia and Siemens, and is backed by internationally recognized, top-tier Silicon Valley venture capital firms.<\/p>","protected":false},"excerpt":{"rendered":"<p>Milpitas, January 30, 2019&nbsp;\u2013 Relay2, a leading innovator in cloud managed WiFi and edge computing platform solutions, has announced that it has fully integrated Aprecomm\u2019s EvolvTM&nbsp;AI Engine. By bundling both companies\u2019 expertise, Mobile Network Operators and Managed Service Providers get the ability to proactively monitor and measure the Wireless Experience of the connected devices, understand their demographics and behavioral patterns and get insights to improve reliability and performance of the network. Those measurable improvements lead to lower maintenance cost and improved customer satisfaction. This is made possible by Aprecomm\u2019s EvolvTM&nbsp;AI engine which harvests and processes the wealth of information generated by connected wireless devices and other active network components. Processing [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1404,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"1080"},"categories":[11],"tags":[],"_links":{"self":[{"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/posts\/686"}],"collection":[{"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/comments?post=686"}],"version-history":[{"count":3,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/posts\/686\/revisions"}],"predecessor-version":[{"id":1397,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/posts\/686\/revisions\/1397"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/media\/1404"}],"wp:attachment":[{"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/media?parent=686"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/categories?post=686"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/jp.relay2.com\/jp\/wp-json\/wp\/v2\/tags?post=686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}