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In the IoT era, companies increasingly require critical decisions to be made in fractions of seconds. Yet in the most time-sensitive situations, says Adi Hirschtein, director of product at Iguazio, the latency involved in sending their data to a centralised cloud and back poses significant hurdles to efficiency and economy.
How can today’s enterprises enjoy the benefits of IoT while avoiding the nettlesome latency problem? Enter intelligent edge computing – the solution that can dramatically accelerate the delivery of data by processing it closer to its source.Pegged at just under $80 million (€69.55 million) in 2017, the edge computing market in the U.S. alone is projected to soar to more than $1 billion (€0.87 billion) by 2025 as more and more companies across sectors seek to leverage its benefits. Business Insider forecasts that by 2020, 5.6 billion enterprise and public sector IoT devices will harness edge computing for the collection and processing of their data – a nearly nine-fold increase over 2015 figures.
That being said, the cloud isn’t going anywhere yet. By working with hybrid platforms, companies can leverage the edge to make faster and smarter decisions as well as reduce bandwidth costs, while enjoying high connectivity to public clouds for historical data and elastic computing. When combining the two, machine learning models are developed in the cloud and automatically deployed at the edge for maximum performance.
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