Internet of things

Boosting your digital position with AI and IoT

By Enrico Scarrone, Chair of oneM2M’s Steering Committee T

he Internet of Things (IoT) ecosystem is evolving at unprecedented rate, with the number of devices that can be connected growing exponentially. The IoT is also transforming the way we interact with our devices, at home, at work and throughout our cities. By 2025, there’s projected to be 42 billion IoT-connected devices globally. It’s only natural that as these device numbers boom, the amount of data will too. That’s where AI steps in — lending its learning capabilities to the connectivity of the IoT. And with this connectivity brings a world of new opportunities, and potential to boost industrial operations and transform how consumers interact with the digital society.

Untapped potential

Businesses across the world are rapidly leveraging the Internet of Things to create new networks of products and services, that are opening up golden business opportunities and creating new operational models. Organizations can capture all the meaningful data surrounding processes and problems and develop specific solutions for real world challenges to improve reliability, efficiency and sustainability. The resulting transformation is ushering in a new age of how they run their operations and engage with customers.

However, tapping into the IoT is only part of the story. For businesses to realise the full potential, they need to combine IoT with rapidly advancing AI technologies, and convergence is a concept everyone should

become familiar with. Both advances work hand in hand, the IoT improves the value of AI by allowing real-time connectivity, signalling and data exchange, whilst AI boosts the capabilities of the IoT by applying machine learning to improve decision making.

A converged, connected world The emerging need for AI in IoT is being mapped by a new, standards-based initiative with an architecture for how IoT systems can make use of AI to manage and apply IoT data over a variety of deployment models, such as edge or cloud-based. And all the while it is ensuring interoperability, security and manageability. With its focus on remote monitoring, data management and cross-vendor interoperability, oneM2M is the natural home for IoT standardisation activities. The success of IoT devices and AI applications lies on convergence, the former reliant the computing power of AI to make sense of and utilise the vast amounts of data they create. AI applications in turn need IoT devices to deliver the quality of information needed to make complex and rapid decisions underlined by transparent reasoning. As these devices and applications continue to proliferate globally, well-engineered interactions between data and intelligence across AI and IoT domains will play a pivotal role in delivering the breakthroughs that are expected to transform the social, health and industrial pillars of society.

Components in Electronics October 2020 19

Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54