AIoT: When AI Meets IoT

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Futurism Technologies

December 21, 2022 - 5.2K
5 Min Read

AIoT: When AI Meets IoT

The Internet of Things aka IoT is creating a treasure chest of big data. The data can assist businesses to predict incidents, give caregivers real-time insights into patient information from biochips/pacemakers, enable optimized efficiency across operations through predictive analytics on equipment/assets, and much more.

As the rapid expansion of connected devices and sensors continues, the sheer volume of data that they create will skyrocket to mind-boggling levels. Mining such enormous volumes of data (big data) is daunting for humans using standalone tools and old-school methods.

The only way to improve the accuracy and speed of big data analysis in order to help IoT live up to its promise is through leveraging cutting-edge AI solutions and machine learning technology. While IoT deals with devices communicating over the Internet, AI on the other hand enables these devices to learn, reason, and process information in a faster and more efficient manner.

At Futurism, we believe that IoT and AI must work together for a successful digital transformation journey. Read on to know how:

When AI meets IoT?

Did you know?1 billion gigabytes is the amount of data generated by IoT devices around the world on a daily basis!

IoT is empowered by three technologies:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Big Data

AI and IoT together create AIoT – a smart and connected network of devices that seamlessly communicate with one another.

AI & IoT Functional View

  • Create (data from sensors & connected devices)
  • Communicate (through IoT networks)
  • Integrate
  • Analyze (advanced intelligence)
  • Act
AI & IoT Functional Flowchart

AIoT in Action

1. Wearables

Wearables continuously monitor and track health preferences and habits of patients without fail. Applications of IoT-powered wearables include:

  • Health trackers
  • Smart bands
  • Heart rate monitoring

Wearables track health patterns and transmit real-time updates to caregivers and doctors based on certain preset rules and algorithms for efficient and timely care delivery and diagnosis.

For example, doctors would receive alerts if a particular condition was met i.e. your heart rates reached unsafe levels.

  • Smart watches
  • Wireless earbuds
  • AR/VR goggles

Use case: Fujitsu leverages AI on data sourced from its gigantic IoT network of connected wearables and devices of its staff to improve work safety.

2. Smart Manufacturing

AIoT in manufacturing or a smart factory uses real-time data insights and sensors to optimize:

  • Supply chain
  • Warehouse management (smart warehouse)
  • Production
  • Logistics
  • And cut unplanned downtime

Data generated from these connected IoT devices helps manufacturers to foresee challenges and prevent costly errors and injuries through predictive analytics.

  • Autonomous AI-driven robots
  • Automated SCM
  • Predictive maintenance sensors

3. Retail

AIoT in retail involves various data points spanning from sensors and cameras to observing customers’ buying behavior and movements and predicting when they will reach the checkout counter. This would help the staff to reduce checkout time significantly.

Read also: How AI is revolutionizing the Retail and eCom Sector?

4. Self-Driving Cars

Tesla is the perfect example of AI and IoT working together. Tesla’s self-driving cars use advanced AI technology and intel to predict the behavior of pedestrians in various circumstances. Tesla’s cars tend to get smarter with each trip by leveraging machine learning and deep learning algorithms.

5. Smart Home

Nest’s smart thermostat is a fine example of AI-powered IoT solution. Smartphone integration can manage and check temperature on the go based on temperature preferences and work schedules for various users.

  • Smart speakers
  • IoT appliances

Intelligent Security and Threat Prevention

Smart devices can know when they are being attacked and can proactively prevent or shutdown as needed.  Yes, a smart endpoint security solution can protect all your endpoints including connected IoT devices, laptops, mobile phones, wearables, desktops and more from security threats.

Smart Risk Management

Clubbing AI with IoT helps to understand and predict a wide range of risks. This helps to manage employee safety and protect connected medical devices through IoMT security for intelligent risk remediation and vulnerability assessment.

Takeaway

The nexus of AI and IoT is fast turning out to be a mainstream thing, as it continues to broaden the boundaries of big data processing combined with intelligent machine learning. In fact, the projected figure for connected IoT devices around the world is expected to surpass 75 billion by 2025. Thus, as the numbers of device continue to grow, the volume of big data will too. This is where artificial intelligence comes into the picture – lending its intelligent learning abilities to the power of IoT. It’s time for businesses to let the smart devices talk and point out where opportunities truly linger.

Get in touch with our AIoT expert to see how can help you leverage the best of both worlds (IoT and AI).

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