Juniper’s Bob Friday is on a 20-year mission to make indoor location services an industry must-have. Location is not easy and has its challenges, but indoor location services are critical to revolutionizing the user experience. In this talk from AI in Action, Bob teams up with Juniper’s Sunalini Sankhavaram to discuss how Mist AI and machine learning (ML) are making indoor location services easy to deploy, support, and use in any enterprise, anywhere. Driven by Mist AI, the Mist Cloud Architecture converges Wi-Fi and virtual Bluetooth LE (vBLE) to deliver real-time cloud location services that combine personalization, data analytics, and operational simplicity.
You’ll Learn:
The four reasons why it has taken so long to deploy indoor location services
How Juniper Mist solves these challenges and fixes the problems
How Juniper Mist is the only solution that delivers five vectors of location context, what those five sources are, and how they matter
Learn more: https://www.juniper.net/us/en/solutions/indoor-location.html-introduction.html
Mist Location Services Documentation:
https://www.juniper.net/documentation/product/us/en/mist-location-services/
You’ll Learn:
The four reasons why it has taken so long to deploy indoor location services
How Juniper Mist solves these challenges and fixes the problems
How Juniper Mist is the only solution that delivers five vectors of location context, what those five sources are, and how they matter
Learn more: https://www.juniper.net/us/en/solutions/indoor-location.html-introduction.html
Mist Location Services Documentation:
https://www.juniper.net/documentation/product/us/en/mist-location-services/
- Category
- Juniper Networks
- Tags
- Location service, Mist AI, Mist
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