The Consumer Technology Association Vice President of research Steve Koenig announced a new trend that is emerging in consumer technology called the Intelligence of Things. The CTA vice president made these remarks during the Consumer Electronics Show (CES 2020) in Las Vegas.
These are smart devices that are able to anticipate human needs and are at the core of smart cities’ infrastructure. The CTA vice president said the Internet of Things (IoT) will be out of fashion in 2020 giving way to the Intelligence of Things technology. This technology is a result of injecting artificial intelligence into connected devices thus enabling their capacity to act autonomously.
Proof of concept for Intelligence of Things
Connected Intelligence concept is already applied in various fields. In agriculture, farmers use drones to identify crops suffering from diseases as well as monitor water usage by identifying areas that need watering. Once identified, automated water systems can target these areas independently. In addition, farmers are using automated harvesters in collecting produce from farms. The use of the Intelligence of Things technology in agriculture, therefore, leads to higher yields and reduced expenses. Furthermore, data from these devices are used in predicting the future of farming such as the weather and disease outbreaks.
Another example is the Japanese company Groove X which has developed the Lovot companionship robot that can recognize its owner’s need for cuddles through facial recognition. Similarly, the French cosmetic company L’Oreal has its AI-powered Perso that can create customized makeup formulas for the users.
Deployment of the new IoT
Various companies are currently experimenting on Intelligence of Things in various fields such as transportation, health, and robotics. The market will be awash with these solutions on reaching maturity after successful testing. This will make such items a crucial part of life for the urban communities, whose population is expected to reach over 60%. Commercial deployments will be particularly common in autonomous transportation around the cities. For example, Ford has already made plans for deploying the autonomous fleet by 2021.
Artificial intelligence and 5G
Artificial intelligence and 5G will be the foundation for the Intelligence of Things technology. Unlike 4G whose main reason for the growth is the consumers’ demand, 5G growth will be powered by enterprise demand. Innovations that resemble those from science fiction movies will be possible in the near future. Companies are already building 5G networks parallel to the 4G networks in preparation for the transition.
5G will form the core of any usable new IoT platform because of the massive amounts of data transfer involved. For example, streaming a virtual reality scenario during a remote surgery session requires the transmission of massive amounts of data. Success in 5G capability will, therefore, spur the success in other areas of IoT technology.
Categories of Intelligence of Things
The new IoT Intelligence of Things technology falls into the categories of either Massive IoT or Critical IoT. Massive IoT contains little data but connects many devices and endpoints. On the contrary, Critical IoT connects fewer devices but with massive data. Because the defining factor in Intelligence of Things is data, the latter will find many commercial applications in critical areas such as remote surgery, industrial robotics, and virtual reality.
Emerging tech trends
AI will become embedded in almost everything creating an AI and Everything scenario. Intelligence of Things will inspire devices such as smart ovens that can prepare food correctly and robotic companions that can detect their users’ moods.
Augment Reality (AR), Virtual Reality (VR), and Cross Reality (XR) will be other trends to watch in the connected intelligence revolution. Most AR devices are now capable of providing room-scale experiences. These devices have also become sleeker and are finding more applications in commercial Business-to-Business (B2B) applications. For example, VR is applied in training doctors on virtual cadavers and is also becoming common in e-sports.
Transportation has been a major area of focus for the Intelligence of Things applications. Various sensors are deployed on these autonomous fleets and can provide crucial data on the roads which can help solve problems such as congestions.
The digital health field will also benefit from connected intelligence by transforming the field from symptom-based diagnostics to a data-driven process. AI-assisted diagnostics will be crucial especially in cases of the provision of a second opinion.
The field of robotics will also benefit largely from the Intelligence of Things revolution. The emergence of social robots will allow the deployment of such devices in areas such as language teaching, dispensing medicine, and the execution of domestic chores.