The truth about AIoT: What to try?

What is AIoT and what can it do? These are the questions this article seeks to answer.

Essentially, we are talking about the convergence of artificial intelligence (AI) and the Internet of Things (IoT). They are two separate technologies that are transforming numerous industries around the world – but combine them and we enter a new era of ever-learning, self-correcting systems powering industrial automation at an unprecedented scale. As Forbes reports: “The Internet of Things is the digital nervous system, while AI is the brain that controls decisions throughout the system.”

Combining AI with IoT means that the power of machine learning and AI can be applied to the vast amounts of data generated by a typical IoT ecosystem – and in turn, the IoT can benefit from the insights generated by AI Ecosystems can be enhanced and optimized over time. In theory, AIoT should be a powerful symbiotic system, with the IoT generating data for artificial intelligence to use, and then the artificial intelligence feeding tangible instructions and improvements back to the IoT.

But this is all theoretical, what does it look like in practice?

Many examples can be found in smart cities, a hot topic in the Internet of Things. For example, consider traffic flow monitoring. If an ecosystem of connected devices or cameras (perhaps even connected to drones) could monitor traffic flow in a specific area and send that data to an AI engine in real time, then the AI ​​could analyze the data and Make dynamic decisions to best manage traffic flow. Decisions might include limiting vehicle speeds or changing specific traffic routes – all by communicating AI-driven decisions back to an IoT network of traffic lights and signs.

Smart office buildings are another good example. Deploying an array of environmental sensors throughout an office building would be invaluable in detecting how many people are in the building at any one time, how they move around the building and use the space, and what facilities they are using. Using AI to analyze this information, you can generate a wealth of valuable insights into how to manage a specific space and how to design future spaces. This allows for more efficient use of resources within an office building and ultimately the development of spaces that better suit the needs of the people within them.

Any organization that needs to manage a fleet of vehicles—from taxi companies and bus companies to logistics and transportation companies—can benefit from AIoT. Location sensors attached to vehicles can provide the AI ​​platform with a real-time view of the entire fleet's location - combined with data related to bus schedules, driver shifts, delivery schedules or taxi requests - which can then do Make informed, real-time decisions to dispatch vehicles more efficiently and appropriately.

Autonomous delivery robots are not yet a mainstream reality, but they will also be powered by AIoT in a similar way to self-driving vehicles. In these use cases, AI is used to intelligently analyze the environment around a vehicle or delivery robot and then make near-instant decisions about where it should move next.

The possibilities for AIoT are endless – keep an eye on this space!

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