IoT devices are ideal sources for real-world data to feed enterprise AI systems. The IoT sector has begun to take advantage of this to deliver more business benefits.
A colleague recently asked, “Is IoT dead? The Internet of Things was a big deal ten years ago, but it’s not headline news anymore.” My short answer was, “No, IoT is not dead, but you’re right about the novelty wearing off.” IoT technologies are evolving beyond the hype to connect real-world industrial and consumer “things” with AI-based, high-ROI applications. Like all successful enabling technologies, IoT becomes less visible but more valuable as it matures.
That’s where IoT comes in. IoT devices provide the real-world, real-time operations data that drives business transformation in the AI era. Connected devices are essential sources of truth for AI training and inference, so using their data to automate and optimize physical operations is among the first IoT killer apps.
Third, even small, battery-powered IoT devices can now use AI inference to convert raw data to actionable events at data collection points. On-device AI reduces cloud computing costs, cuts response times and addresses many data analytics problems more efficiently than procedural algorithms.
Many leading semiconductor companies such as NXP, Qualcomm, Silicon Labs, STMicroelectronics and TI offer high-performance, power-efficient, single-chip MCU- and MPU-based SoCs with sufficient compute power to support a wide variety of IoT apps. These companies also provide developers with all required system software, tools and prototyping boards.
Forward-looking industrial IoT suppliers embrace the shift from technology-centric IoT to product-centric IoT, adopt customer-focused mindsets and avoid treating IoT ingredients as deliverables. These companies transparently integrate mature, horizontal IoT connectivity features into vertical industry products that directly address customer business situations.
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