{"id":2119,"date":"2017-12-13T11:46:29","date_gmt":"2017-12-13T16:46:29","guid":{"rendered":"https:\/\/solutionsreview.com\/wireless-network\/?p=2119"},"modified":"2018-01-24T12:07:54","modified_gmt":"2018-01-24T17:07:54","slug":"four-must-have-ai-components-for-wireless-network-strategies","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/wireless-network\/four-must-have-ai-components-for-wireless-network-strategies\/","title":{"rendered":"Four Must-Have AI Components for Wireless Network Strategies"},"content":{"rendered":"

\"Four<\/p>\n

To give you some perspective as to how far artificial intelligence has come, the technology is now so complex its creators can’t exactly trust why it makes decisions<\/a>.If they doesn’t indicate that AI has a significant role in the future, i don’t know what does.<\/p>\n

That being said, artificial intelligence has found a comfortable spot in wireless network technology. Gartner predicts that by 2020, artificial intelligence will be integrated into every new software product and will become a primary investment priority for more than 30 percent of CIOs.<\/p>\n

To establish a wireless network in the next few years, it’s absolutely vital that you consider AI as part of your strategy. We’ve brought five AI components your wireless strategy should include.<\/p>\n

Threat Detection\u00a0<\/strong><\/em><\/h4>\n

Detecting unusual network activity, an AI enabled platform can accurately and quickly detect immediate threats to the network. Location-based technology can be used to accurately locate rogue and malicious devices and can provide location based access to certain resources.<\/p>\n

Contextual Services<\/strong><\/em><\/h4>\n

Businesses utilizing BLE and mobile applications in their wireless strategy are also collecting data from mobile devices to allow for location-based and contextual services. These businesses need to bring global customer data together to keep up with baselining and monitoring trends so that large issues can be easily be addressed.<\/p>\n

Data Collection<\/strong><\/em><\/h4>\n

A powerful AI solution starts by compiling immense amounts of relevant data. Artificial intelligence is always collecting more data in order to build on its intelligence. That being said, it only makes sense that as the AI solution begins to collect more diverse sets of data, the solution will become smarter. In wireless networks, it’s imperative that data is collected from network devices in real-time to provide optimal service.<\/p>\n

Design Intent Metrics<\/strong><\/em><\/h4>\n

No matter what an artificial intelligence system is being used for, AI solutions require labeled data based on domain specific knowledge to simplify a task into smaller segments. This process can be reached by using design intent metrics, which are essentially structured data categories for classifying and monitoring the wireless user experience.<\/p>\n

\t\t\t

\"wireless<\/a>For information on the top 802.11ac solutions,\u00a0check out our latest Buyer’s Guide:<\/strong><\/h4>\n