TinyML connecting millions of devices supporting the digital strategy!

According to Bosch.io, the number of connected devices will increase to 14 billion by end of 2022 from 2 billion in 2013. This indicates the large-scale adoption of IOT across manufacturers with strong emphasis on data connectivity for visibility and improve customer lifetime value through subscription models. The concept of smart devices is no longer innovate and manufacturers would want to build things that can talk with the internet seamlessly. From cars and TVs to lightbulbs and doorbells, so many of the objects in everyday life have ‘smart’ functionality because the manufacturers have built chips into them. But what if you could also run machine learning models in something as small as a golf ball dimple? That’s the reality that’s being enabled by TinyML, a broad movement to run tiny machine learning algorithms on embedded devices, or those with extremely low power requirements. Deep neural networks may now be executed on tiny memory-limited devices like microcontrollers, opening unprecedented prospects for ubiquitous intelligence within industrial locations.

TinyML has made it possible for industrial enterprises to fully utilize the edge analytics paradigm in recent years. TinyML is a cutting-edge machine learning paradigm that involves running ML models, including deep learning models, on CPU and memory-constrained device, like microcontrollers. Manufacturing companies are also using TinyML to carry out real-time predictive maintenance, using embedded devices to detect anomalies before machines fail, saving millions of dollars in maintenance costs. Using TinyML sound analysis for example, embedded devices can identify if a machine is about to break down. Developer collaboration and ongoing innovation suggest TinyML will have a transformative impact, not only on how organizations invest in intelligent technology, but in the daily lives of everyone who engages with it.?

If you are solution provider or a disruptive startup that is deploying TinyML on Edge devices to enable data connectivity, please reach out to [email protected]

Source: https://blog.bosch-si.com/internetofthings/market-size-and-connected-devices-wheres-the-future-of-iot/

Credits to Navneeta Roy