AI APPLICATIONS
“ IoT can work with AI by streaming data from many , many devices into a database from which the AI is deriving its insights ”
DAI CLEGG TECHNOLOGY EVANGELIST , EMEA , AT YUGABYTE
the AI is deriving its insights . Where we ’ re using multiple datasets , we will be merging , moving and replicating that data to get it in the right place and format to make decisions on it . The data and processing network will be key .”
Generating city data with IoT and AI AI is inherently a big part of how integrated IoT currently functions and will continue to advance in the future , as data is the biggest output of IoT connectivity .
The technology is also integral to the improved time and cost efficiencies with which IoT has become synonymous . This is mostly due to the automation of tasks that AI enables without the need for human interference .
Adding to this , with 5G capabilities - and 6G possibly just around the corner - the new ultra-speed networks many cities operate add to improved connectivity across IoT devices : “ This will also help identify interdependencies that exist between the operation within these devices and network operations in near real-time . While the
Yugabyte ’ s co-founders are database builders and operators who met at Facebook , where they scaled the platform from millions to billions of users in just a few years . The team made a bet that the trends they experienced – microservices , containerisation , high availability , geographic distribution , APIs developers love to use , and an appetite for open source – would affect most , if not all , businesses over time . They came together in February 2016 to build YugabyteDB , the distributed SQL database built to power global-scale , cloud-native applications .
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