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S9|E21 Cisco AI-Enhanced Radio Resource Management for Wireless Networks

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İçerik Cisco Champion Radio tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Cisco Champion Radio veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
Your network works for you. Your network has all the data it needs to make it a better network. However, with people coming and going, your network environment becomes a living and breathing entity that is dynamic based on the number of users, the demand for bandwidth and other environmental changes that happen over time. If your network does not adjust to these changes, performance suffers for all devices including IoT and user devices. A solution is needed that continually monitors and optimizes the network to these changes providing the best operational efficiency. Tune in to this episode to learn how Cisco has optimized RRM, leveraging Artificial Intelligence to adaptively optimize your wireless network. As a part of Cisco DNA Center AI-Enhanced RRM uses historical data, AP density and other trends to provide the best wireless experience in a dynamic environment. (3:09) What is AI Enhanced RRM? (4:11) What problems is RRM solving? (5:50) How do you make better decisions with more data? (6:39) It feels like part of AI RRM is going to massively reduce the amount of tailoring we need to do to the networks, right? Because the AI will be able to make better decisions then we were ever able to make in the past (10:34) Is there a dashboard? (12:23) How does RRM share insights and make recommendations? (15:04) Do you get analytics after you implement a recommended change (16:25) We talk about RRM making these decisions. Is it worth running it through the other decisions it can make? What can you expect to change when RRM is making these decisions? (18:45) What about 6GHz? (22:32) Dynamic bandwidth selection (25:50) Can the AI RRM disable radios if it believes this will optimize? (26:14) What is the hardware required in our environment? (29:50) Real world examples in big events (33:50) How many RF profiles can a single instance of AI RRM run? Related links https://cisco.com/go/dnacenter.com/?dtid=opdcsnc001469 Follow us: twitter.com/CiscoChampion Cisco Champion Hosts Kjetil Teigen Hansen (twitter.com/mrTeigen), Conscia Norge AS, System Engineer Mike Bolitho (twitter.com/NetEngMike), CommonSpirit Health, Wireless Engineer Richard Atkin (twitter.com/ukricha), ITGL, Solution Architect Guest Jim Florwick, Cisco, Technical Marketing Engineer, ENB TME Platforms Moderator Amilee San Juan (twitter.com/amileesan1), Cisco, Customer Voices and Cisco Champion Program
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235 bölüm

Artwork
iconPaylaş
 
Manage episode 330301714 series 2300880
İçerik Cisco Champion Radio tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Cisco Champion Radio veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
Your network works for you. Your network has all the data it needs to make it a better network. However, with people coming and going, your network environment becomes a living and breathing entity that is dynamic based on the number of users, the demand for bandwidth and other environmental changes that happen over time. If your network does not adjust to these changes, performance suffers for all devices including IoT and user devices. A solution is needed that continually monitors and optimizes the network to these changes providing the best operational efficiency. Tune in to this episode to learn how Cisco has optimized RRM, leveraging Artificial Intelligence to adaptively optimize your wireless network. As a part of Cisco DNA Center AI-Enhanced RRM uses historical data, AP density and other trends to provide the best wireless experience in a dynamic environment. (3:09) What is AI Enhanced RRM? (4:11) What problems is RRM solving? (5:50) How do you make better decisions with more data? (6:39) It feels like part of AI RRM is going to massively reduce the amount of tailoring we need to do to the networks, right? Because the AI will be able to make better decisions then we were ever able to make in the past (10:34) Is there a dashboard? (12:23) How does RRM share insights and make recommendations? (15:04) Do you get analytics after you implement a recommended change (16:25) We talk about RRM making these decisions. Is it worth running it through the other decisions it can make? What can you expect to change when RRM is making these decisions? (18:45) What about 6GHz? (22:32) Dynamic bandwidth selection (25:50) Can the AI RRM disable radios if it believes this will optimize? (26:14) What is the hardware required in our environment? (29:50) Real world examples in big events (33:50) How many RF profiles can a single instance of AI RRM run? Related links https://cisco.com/go/dnacenter.com/?dtid=opdcsnc001469 Follow us: twitter.com/CiscoChampion Cisco Champion Hosts Kjetil Teigen Hansen (twitter.com/mrTeigen), Conscia Norge AS, System Engineer Mike Bolitho (twitter.com/NetEngMike), CommonSpirit Health, Wireless Engineer Richard Atkin (twitter.com/ukricha), ITGL, Solution Architect Guest Jim Florwick, Cisco, Technical Marketing Engineer, ENB TME Platforms Moderator Amilee San Juan (twitter.com/amileesan1), Cisco, Customer Voices and Cisco Champion Program
  continue reading

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