Posted on Wednesday November 23, 2022
Ammad Ahmad | 5 min read
How Internet of Things and Artificial Intelligence Work Together?
The adoption of the Internet of Things and Artificial Intelligence is changing the business world and assisting in distinctively capturing significant information from various sources, i.e., computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers. However, the complexity of collecting, processing, and analyzing data from a plethora of IoT devices is not that simple. To realize the full prospect of IoT devices – a collaboration between AI and IoT is vital to reshape industries, businesses, and economies.
AI-enabled IoT help create intelligent systems that simulate intelligent behavior and assist in making decisions with little or no human intelligence – bringing benefits to specialists and us consumers. While IoT is concerned with devices interacting with each other and via the internet to the cloud, AI enables devices to learn from experience.
With years of experience, Zigron harnesses the power of the latest technologies and offers AIoT-led digital transformation to help OEMs orchestrate the ecosystem and become AIoT driven. These solutions bring business model transformation for OEMs, equipping them to provide a personalized experience to end customers, ultimately enabling breakout growth in market segments.
IoT & AI – The Biggest Blend of 21st Century
Consider a supermarket manager who wants to enhance the in-store customer experience. Observing, understanding, and measuring in-store behavior is more difficult than retrieving data on online purchases. This is where the Internet of Things and Artificial Intelligence come into play. The use of IoT and AI easily combine old forms of organized data (such as records, stocks, and RFID tags) with alternative sources (such as store traffic, online promotions, and so on) to produce more precise observations of purchases. As a result, the manager can correlate the data with paths and make specific recommendations on the items his store sells. This includes stock management, store design, and smart spaces.
Improved Safety Standards
Given the recent increase in data theft cases and the loss of valuable data, security and safety are the most critical features for a business. The AI-based IoT platforms safeguard sensitive data and prevent unauthorized access. Several companies are utilizing machine-to-machine interaction to detect inbound attacks and send out automated responses to cyber criminals. In the finance industry, for example, IoT sensors detect illegal activity in ATMs and immediately report it to law enforcement.
Improved Business Analysis
There has to be a perfect balance of demand and supply. AIoT helps businesses improve stock control and relieve inventory stress by predicting when there’s a need to restock. This is useful for merchants who may accumulate too many items only to later discover that they are unable to sell them all. Furthermore, it exemplifies how significantly more precise it is than conventional methods.
Efficient Product Automation
AI-enabled IoT implementation helps simplify and create accurate forecasting to predict the performance of IoT devices by remotely monitoring and observing IoT data parameters, which are essential for increasing production efficiency. Furthermore, investing in IoT is critical in today’s world because the technology can assist in identifying mundane tasks and those that consume a lot of time. Google’s reduction in data center cooling efficiency, which they might obtain with the help of AI and IoT, is a great example of this. Companies, too, learn aspects of operations that need to be tweaked to avoid being willing to sacrifice productivity.
Smartphones and high-end computers are examples of AIoT devices, as are low-cost sensors. Even so, the most popular IoT ecosystem includes low-cost sensors that generate massive amounts of data. Before transferring data to other devices, an AI-based IoT ecosystem evaluates and summarizes data from one device. As a result, it condenses large amounts of data and enables the connection of many IoT devices. This is referred to as scalability.
Smart sensors (IoT devices) generate, gather, and store tons of data in facility optimization, which can then be analyzed using AI. This incorporation assists by performing predictive data analyses and providing alerts for building and valuable asset maintenance.
The Drive for Transparency
IoT sensors provide real-time and live status updates. Based on such live alerts, AI allows smart devices to act in the company’s and its clients’ best interests. AIoT provides unprecedented visibility into the underlying data associated with devices, procedures, and customers. For example, field service providers armed with AI to learn solutions collect and transform massive amounts of data into actionable information to drive significant improvements, i.e., proactively managing captured data, predictive maintenance, etc.
IoT and AI are Improvising Healthcare
AI’s role in healthcare is rapidly expanding. AI and IoT play important roles in healthcare facilities, hospitals, and pharmaceutical organizations. Computer-based prognosis and assistance allow doctors and patients to have more convenient consultations. The technologies aid in collecting and evaluating information through data management, examination tests, X-Rays, CT scans, and other similar tasks. There are also monitoring device trackers that monitor heart rate. They send an alert to the user and share information with doctors so that necessary measures can be taken. Using machine learning, a field of AI, to analyze medical images is an example of healthcare AI. Companies are assisting the industry in using machine learning on medical data to detect tumors automatically. This expedites the diagnosis and allows for the initiation of treatments. There are several other use cases of AI in healthcare, like in oral health and lung health, just to name a few.
Internet of Things and Artificial Intelligence technologies ensure the effectiveness of data-driven approaches in the business sector. They are considered liberating forces even though they enable businesses to perform tasks only humans can. Furthermore, businesses that act on data insights become pioneers and industry professionals. Similarly, entrepreneurs who seek expert advice are much more likely to be successful. They could improve their operations, lower costs, and gain business insight.
Zigron provides IoT and AI experts with time-tested skills and experience in the smart home industry to help move from high-cost traditional practices to combine creativity with impeccable engineering quality. Our Internet of Things and Artificial Intelligence experts help businesses automate processes, gain insights and engagement with end users to improve performance, support data security, and enable continuous operations.
Zigron is based out of Arlington, VA, USA, and has more than 150 engineers in Islamabad, Pakistan; and can be your perfect strategic outsourcing/offshoring long-term development partner for AI + IoT platforms development, cloud engineering, embedded engineering, edge computing, and big data analytics. Zigron is here to help you optimize your costs and increase your speed to success. If you are interested in exploring Zigron as your strategic long-term development partner, please email us at email@example.com or contact us at +1-412-478-6588.
Ammad Ahmad works as a Technical Content Lead. He has a background in Computer Networks and a strong interest in learning and sharing up-and-coming Computer Networking trends.