With the 2016 EDUCAUSE Annual Conference only days away, the Extreme team is gearing up to join leading IT professionals and other technology providers in Anaheim, CA for discussions of the latest innovations driving change in higher education.
In the new Internet of Things era, Extreme’s software-driven networking solutions support the latest education technology initiatives embraced by colleges and universities around the world – from online testing to smart schools and recently, virtual and augmented reality.
To effectively implement classroom technology and improve education outcomes, universities and colleges require efficient and reliable Wi-Fi network solutions. At booth #725, our networking specialists will be presenting demos of the latest technology, including:
- Network analytics and how they improve education
- Campus high-density Wi-Fi solutions
- Cloud-based network management solution
Booth #725 is where visitors will learn why institutions like Louisiana College deployed high-density Wi-Fi solutions to securely authenticate new devices and control bandwidth usage, and how Utica College shifted from traditional IT to focus on student-facing education-based technologies for improving learning outcomes. We’ll have more education innovation and momentum to share with you during the show, including new survey findings to inform higher education of the latest trends in edtech.
The Extreme team will reveal a special announcement that will change the Wi-Fi landscape! By pre-registering for our demo tour, you can be among the first to hear the announcement and we’ll tell you how to receive a $20 Amazon Gift Card.
On Wednesday, October 26, we’ll be hosting a reception at the Marriott Anaheim from 6:00 – 8:00 pm. RSVP now to join us for cocktails, appetizers and conversation. Attendees will be entered into our EDUCAUSE raffle for a chance to win an iPhone 7.
We hope to see you soon at EDUCAUSE 2016!
The post EDUCAUSE 2016: How Network Analytics and High-Density Wi-Fi Support IoT in Higher Ed appeared first on Extreme Networks.