NEW YORK and SAN JOSE, Calif., Feb. 15, 2018 -- Verizon Enterprise Solutions today announces the launch of Software Defined Wireless Local Area Network (SD WLAN), a user-centric wireless LAN managed solution which is part of Verizon’s Virtual Network Services portfolio. SD WLAN provides visibility into both the corporate wireless network operations and Bluetooth-enabled devices connected to the network, with an eye toward improving the user experience. Using SD WLAN, network access and security configurations can be tailored to the individual user.
Leveraging patented artificial intelligence and machine learning technology from Mist Systems, Verizon’s Managed SD WLAN monitors and manages the wireless LAN automatically. User and network data is analyzed in real time and used to identify network choke points, unauthorized user access attempts, etc. and can scale network resources up or down to meet demand.
“Our Enterprise users are increasingly using wireless LANs, yet innovation around management of WLANs has not kept pace,” said Vickie Lonker, vice president, product management and development at Verizon. “SD WLAN leverages the advanced intelligence and machine learning offered through Mist Systems’ platform to improve network management and operations while controlling costs. It is the next step in our overall SDN strategy.”
Using Verizon’s Managed SD WLAN enterprises can:
- Deliver a richer user experience, including tailoring services based on user need and location.
- Increase automation and system intelligence to enable faster network configuration and improved operational controls.
- Identify, pinpoint and fix issues before customers are even aware of them.
- Control costs by using less hardware.
Along with deep metrics, improved performance, and ease of implementation, Verizon’s Software Defined Wireless LAN includes virtual beacon technology and next-generation location-based services. This enables:
- Targeted proximity messaging for deeper engagement with customer’s employees and guests.
- Advanced wayfinding and asset-tracking.
- Integration with IoT devices for location based security and sensor controls.
- Easy upgrades and rich traffic analytics.
“Working with Verizon we are simplifying how wireless services are managed and operated and lowering the cost of delivering those services, ” said Sujai Hajela, CEO and Co-Founder of Mist. “Verizon customers get an AI-driven network solution that delivers an improved Wi-Fi and indoor location experience.”
Learn more about Verizon’s SDN services at: http://www.verizonenterprise.com/products/networking/sdn-nfv/.
About Mist Systems
Mist built the first AI-driven wireless platform, designed specifically for the Smart Device Era. The Mist Learning Wireless LAN makes Wi-Fi predictable, reliable and measurable by providing unprecedented visibility into the user experience and by replacing time consuming manual IT tasks with proactive automation. In addition, Mist is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together to deliver personalized, location-based wireless services without requiring battery-powered beacons. All operations are managed via Mist’s modern cloud architecture for maximum scalability, agility and performance.
The Mist team consists of leading experts in wireless, machine learning and cloud, who are responsible for building the largest and most advanced networks in the world. Founded in 2014, the company is based in Cupertino, CA and funded by top investors, including Lightspeed Venture Partners, Norwest Venture Partners, GV (formerly Google Ventures) and Cisco Investments.
Verizon Communications Inc. (NYSE:VZ) (Nasdaq:VZ), headquartered in New York City, generated $126 billion in 2017 revenues. The company operates America’s most reliable wireless network and the nation’s premier all-fiber network, and delivers integrated solutions to businesses worldwide. Its Oath subsidiary reaches about one billion people around the world with a dynamic house of media and technology brands.
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Media contact:
Kevin King
1-908-559-3491
[email protected]
Twitter: @kvnhkng


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