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New Course Debuts May 8 at ONUG Spring Event; Equips IT Personnel with AI, DevOps and Scripting Skills for Automated IT Operations
CUPERTINO, Calif., April 25, 2018 (GLOBE NEWSWIRE) -- Mist, the pioneer in self-learning networks powered by artificial intelligence (AI), today announced the industry’s first certification course titled, “AI for IT”. This one-day session, sponsored by Verizon, provides hands-on experience setting up and operating a live AI-driven wireless local area network (WLAN). The first AI for IT certification course is May 8th as part of the ONUG Academy at the ONUG Spring 2018 event in San Francisco.
“The number of devices, applications and computing devices are growing exponentially every year, while workers and data are increasingly distributed. This makes it harder than ever to deploy and operate IT infrastructures on a limited budget,” said Nick Lippis, co-founder and co-chair of ONUG. “For IT departments to become more cost effective and strategic to business operations, they need to deliver better insight into the user experience in a more automated fashion. We are pleased to see companies like Mist and Verizon help make this possible by training IT personnel on the key technologies that make it happen.”
According to Gartner, “Infrastructure & Operations (I&O) leaders that are planning, sourcing and managing network infrastructure must:
“AI is critical for bringing automation and insight to the IT industry, which lowers costs, improves efficiencies and leads to a better end user experience,” said Viraj Parekh, executive director of product and new business initiatives at Verizon. “Our goal is to provide a way for IT administrators or departments to be able to leverage AI in the work they do every day.”
1Gartner, ‘Automation and AI Will Slash Access Layer Downtime and the Reliance on Network Administrators,’ written by Tim Zimmerman, Vivek Bhalla, November 30, 2017.
AI for IT Course Overview
Topics covered in the AI for IT certification course at ONUG Academy include:
Where: UCSF Mission Bay Conference Center, San Francisco, CA
When: May 8, 2018 from 9:00 a.m. to 3:00 p.m. PT
Who should attend:
IT personnel interested in gaining hands-on experience working with APIs to automate the deployment and operations of an AI-driven wireless network. Prior experience with Python and wireless networking is recommended, but not required.
Registration is required. Click here to register for the ONUG Spring 2018 Academy Pass, which includes one course per day. For a complimentary registration code to sign up for the AI for IT certification course, please contact Mist at firstname.lastname@example.org
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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. For more information, visit www.mist.com.
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