AI APPLICATIONS
technology and infrastructure needed to integrate the various aspects of IoT into smart city infrastructure are still nascent , we already have myriad capabilities in place ,” says Fusemachines Founder and CEO , Sameer Maskey .
“ For example , the ability to remotely monitor , manage and control devices , and to create new insights and actionable information from large streams of real-time data is currently possible ,” he adds .
Coping with large datasets with the help of cloud technologies In smart city environments with IoT , everything from vehicles to hand-held devices are constantly interacting with each other , generating not only a large volume of data but also different variants of datasets .
To ensure this data doesn ’ t go stale , the management of these datasets is a foreseeable challenge as technologists band together to build scalable smart city ventures .
Traditional and conventional data warehousing techniques can be timeconsuming and limiting as a result . Many technologists now look to the best of cloud and edge computing as a critical solution in managing data .
“ Like AI , and 5G / seamless connectivity , cloud too is integral to the large-scale implementation of IoT into a city . Cloud computing essentially enables the storage and exchange of the very data generated by the multitude of smart devices that will make up a smart city ,” says Maskey .
“ For example , with the help of cloud computing , various services from healthcare , energy and transportation to governance , retail and education can be available for the smart city ecosystem via the cloud and will be only a device away . With everything
“Cloud technologies that promise secure , uninterrupted and cost-efficient offerings will be in high demand ”
SAMEER MASKEY FOUNDER AND CEO AT FUSEMACHINES
70 April 2022