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AI at the Edge: Edge Computing will Ultimately Trump the Cloud
Building a platform to support AI for devices at the Edge has the potential to be a bonanza for vendors, says Dan Woods, CEO and founder of Evolved Media. He contends that ultimately Edge Computing, rather than Cloud Computing, will dominate future computing platforms.
Woods quotes an article by Thomas Bittman: ” the agility of cloud computing is great – but it simply isn’t enough. Massive centralization, economies of scale, self-service and full automation get us most of the way there – but it doesn’t overcome physics – the weight of data, the speed of light. As people need to interact with their digitally-assisted realities in real-time, waiting on a data center miles (or many miles) away isn’t going to work. Latency matters. I’m here, right now, and I’m gone in seconds. Put up the right appealing advertising before I look away, point out the store that I’ve been looking for as I drive, let me know that a colleague is heading my way, help my self-driving car avoid other cars through a busy intersection. And do it now. “
Trifacta estimates that global AI edge device shipments will increase from 161.4 million in 2018 to 2.6 billion in 2025. What kind of devices? The top category of devices include: mobile phones, smart speakers, PCs/tablets, head-mounted displays, automotive sensors, drones, consumer and enterprise robots, and security cameras.
A report from Deloitte found that “the IoT is getting smarter. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound. The powerful combination of AI and IoT technology is helping companies avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.”
