How Can Artificial Intelligence Enhance Your Experience with the Internet of Things?

The scenes of Hollywood Sci-Fi movies begin to take place in mind when we hear the word Internet of Things (IoT) and Artificial intelligence (AI). It used to seem the future things but have conquered the present by fusing their powers. Today, we often talk about the fourth industrial revolution; AI and IoT are the two pillars of many for the expected industries transformation.

The IoT and AI abilities are still in their early stages but can reshape the existing standards with a quick snap. Artificial Intelligence services are blending these two powerful technological forms for industries where data can be the problem solver for many shareholders.

The wave started from the inception of the internet decades ago. The phones holding the capability to connect with the network brought humankind on the boat of a never-ending technological sea. If we will ever have the opportunity to time travel in the monolithic period and tell people of that time about today’s technology, they will never believe us and call us with the words we do not like to listen to from any age 😊.

Back to the point, the blend of these two technologies is beneficial for both individuals and enterprises. As communication takes place with the internet in the IoT devices, AI can enable the skill to learn from the past data.

This write-up will highlight the aspects where both inventions support each other.

Instituting AI Power with IoT

There is a belief that, without AI, IoT cannot exist. The statement is not wholly accurate. In technical terms, IoT refers to the collection of data through sensors and programmed chips. Using these devices gives organizations access to the relevant data sources that they can analyze and use to make more intelligent and profitable decisions.

Initially, the system’s interconnection was based on cloud computing, which offered connectivity, virtual storage, and machine-to-machine (M2M) interaction. Hadoop and Spark framework is still quite prevalent today for such activities. They allow data scientists to visualize trends, unveil patterns, and comprehend the coherence between the linked systems.

The issue is that IoT technology has surpassed the previous setup. Now we can embed sensors anywhere like farming tools, drones, fleets, etc.

With the AI+IoT (AIoT) applications, several AI components can be integrated like edge computing, software, chipsets and establish a connection with IoT networks. The linked components operate with the help of Application Programmable Interface (API) to ensure interoperability. With that, AI enhances the data extraction process to gain the unavoidable insights from the IoT devices in unstructured form.

Where AI Meets IoT?

Smart Retail

An intelligent shopping environment is set up with the cameras having computer vision that identifies customer facial data when they step in the mart or shop through the main entrance. The camera eye collects human data like their gender, traffic flow, shopping preference, and more. After collecting all the necessary and required information, the system analyzes the data sets to predict future trends and customer behavior, allowing decision-makers to make more informed decisions based on the available facts.

One use case as an example could be like if customers in the store are baby boomers, then the AI system will place the advertisements in the interest of their age demographics, converting into more sales and revenue. Like the Amazon Go store, cameras will sense the shoppers’ cart and permit them to bypass the traditional checkout.

Robotic Collaboration

Do you want to seek help from the robot? Collaborative bots, or more precisely, Cobots, do exactly what they are designed for. Cobots are equipped with complex mechanisms and sensors that help them understand the human environment and help them with their designed power. It could be a mechanical robotic arm that can do particular tasks or a full-fledged robot to accomplish complicated tasks.

Smart City

Instead of thinking only for yourself, why not consider the whole city? A network of sensors attached to the physical infrastructure creates an intelligent place for humans to live. The sensors can analyze the city situations like air pollution, energy consumption, noise pollution, water usage, traffic conditions, and much more.

Deliveries through Autonomous Robots

These bots are part of the Cobot category we discussed earlier but have different minor attributes. Here, AIoT travels outdoor to the destination where it has to deliver the order. It maximizes the delivery speed and minimizes the shipping cost, bringing significant satisfaction on the consumer side.

Wearable Devices

Wearables like smartwatches are responsible for the continuous tracking of user actions. It is not only advantageous in one’s wellness but can innovate the healthcare system by allowing medical experts to get the full inside-out report to treat the patient more effectively.

Today, people are spending more on wearable devices, and it has become a trend to follow. A Statista report tells that by 2022, the global spending on wearable devices will reach $93.86 billion.

Optimized Operations

The IoT device with AI power embedded in it can enhance operational efficiency. Like machine learning, which predicts the outcome, it can anticipate the operating conditions and recognize the attributes that need adjustments to maintain the progressive environment. It will allow the detection of patterns not visible to the average human eye with traditional approaches.

Optimized Risk Management

The fusion of AI with IoT aiding the companies to recognize and anticipate risks and build an automated response to mitigate or minimize the cyber threat effect.

The current application of this fusion can be found in ATM fraudulent activity monitoring, auto driver prediction based on driving patterns, identifying life-threatening conditions, monitoring unlawful activities, and much more before the event takes place in actuality.

Expand IoT Scalability

The range of IoT devices starts from low-end sensors and goes all the way up to high-end sensors. Usually, low-end sensors are found in a typical IoT ecosystem, transmitting lots of data. IoT system with AI power in its core analyzes the data from one source before sending it to the other source. It enables the connection of many devices and reduces data in large volumes. This phenomenon is known as scalability, which you can also achieve by contracting with the Artificial Intelligence development company.

Physical Workspace

Another place where IoT and AI can meet and supply smartness is the office buildings. Some enterprises opt for smart environmental sensor installation in their physical workspace. These sensors efficiently detect the environment temperature and lightning conditions and adjust electronic equipment like air conditioners, heaters, lights accordingly. They also install a biometric or facial recognition system on the main gate where each employee punches their check-ins and checkouts. All in all, AI with IoT takes care of everything.

What is Next in the Future?

The data without smartness is not valuable.

IoT can function without the intervention of AI, but why not think of being innovative and make gadgets intelligent as well. The solutions from this blended technology can make the individual life and industries full of convenience and smartness.

As IoT sensors are becoming mainstream, more companies will likely invest in these solutions in the future. It will help them cut down the cost, improve productivity, maximize profit, and provide an intelligent ecosystem.