CLOUD & 5G
Previously , generating and retaining as much valuable data as possible was seen as a priority . Now , the focus for businesses has shifted to creating an infrastructure that can process this data in real time .
“ Traditionally , all data is sent to a central location for processing , which isn ’ t fit for purpose for a business bursting at the seams with data because it puts too much pressure on the network . This is why edge has fast become one of the key pillars of modern infrastructure for the AI era .”
Edge computing cuts out the middleman of having to send data to a central data centre to process . Instead , edge data is processed close to the source of the data in real-time , which significantly reduces latency , increases the speed of output and puts less pressure on a business ’ central networks . This is critical for applications where ultra-low latency is essential .
“ This is essential for any AI deployments that businesses want to roll out in the field , for example , in industries such as manufacturing . The greater availability of 5G networks also makes this the perfect time to invest in edge-powered AI , as its high bandwidth enables lower latency ,” Manish adds .
So what is behind the rise of edge computing influencing the adoption and application of AI across businesses ?
132 November 2024