AIoT: How Convergence of AI and IoT can Disrupt Industries?
AIoT or Artificial Internet of Things is a New Catalyst in Digital Transformation and Disruption
In today’s fast-paced digital world, disruptive technologies like IoT and artificial intelligence (AI) are transforming every aspect of a business and society more profoundly. However, these technologies hold more potential in the areas where their capabilities get molded together. Dubbed as AIoT, this blend of AI and IoT is an amazing tool, both at the Edge or in the Cloud.
A Gartner report states that by the year 2022, more than 80% of enterprises would deploy AI with IoT. This means with the proliferation of IoT tools, devices, and sensors, the AIoT platforms can bring improved business models, enhanced efficiency, meet growing demand, and instill better customer experiences. For instance, we know that data (telemetry data) amassed from IoT sensors is governed by cloud or edge architectures. This data is then sent to the host (generally a cloud), where the large datasets and insights are stored. In other words, storage, connectivity, and computing form the core abilities of IoT. This data is used to draw insightful information for various purposes.
When we integrate this data with offerings of artificial intelligence, we obtain another capability of acting and rectifying the loophole or gaps within the system. Artificial intelligence models glean the patterns in the telemetry data, identify the gaps that hinder automation, and then start initiating action, thus self-healing in the process.
Today, AIoT is set to redefine the future of industrial automation and lead the Industry 4.0 revolution. According to World Economic Forum, more than 1000 factories have ventured into the path of transformation with AIoT. And this transition has been observed by experts, who have also witnessed an increase in volume production, mass customization, and efficient functioning of business models thanks to AIoT.
Typically, there are four major areas in which the AIoT is making an impact, viz., wearables, smart home, smart city, and smart industry. Today, AIoT is being labeled as the catalyst to IoT strategy. This is primarily because IoT is about collecting data and relaying critical network information to admins or end-points.
However, AIoT emphasizes analyzing data patterns and providing all real-time information that businesses or entities need to make the best decisions. For instance, in the case of autonomous vehicles, human lives hang in the balance as the vehicle’s sensors feed data into onboard artificial intelligence systems that make real-time decisions. In such scenarios, AIoT helps save countless computations hours and enhances the capabilities of the network. Even in the healthcare industry, integrating AIoT in surgical robots would help robots identify the problems associated with surgery and enable them to analyze the telemetry data using AI and utilize it during delicate surgeries.
AIoT will also enable true automation of manual tasks and allow the system to make autonomous decisions, boost productivity and efficiency. Further, existing IoT systems are designed to react to an event, while AIoT systems can proactively detect failures and events.
To surmise, as AIoT becomes more and more mainstream, it will usher in a new technological age by pushing the boundaries of intelligent data processing. Experts also believe it will play a crucial role in bringing Industry 4.0.