The Internet of Things, also known as the IoT, is creating a big data treasure chest. Data can help businesses predict incidents, provide caregivers with real-time insight into patient information from biochips/pacers, enable optimized efficiency across operations through predictive equipment/asset analytics, and much more.
As the rapid expansion of connected devices and sensors continues, the sheer volume of data they create will skyrocket to mind-boggling levels. Extracting such huge volumes of data (big data) is overwhelming for humans using independent tools and old-school methods.
The only way to improve the accuracy and speed of big data analytics to help IoT deliver on its promise is by leveraging cutting-edge technology. AI solutions and machine learning technology. While IoT deals with devices that communicate over the Internet, AI, on the other hand, enables these devices to learn, reason, and process information in a faster and more efficient way.
At Futurism, we believe that IoT and AI must work together for a successful digital transformation journey. Read on to find out how:
When does AI meet the 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 powered by three technologies:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- big data
AI and IoT together create AIoT: an intelligent, connected network of devices that communicate seamlessly with each other.
Functional view of AI and IoT
- Create (data from sensors and connected devices)
- Communicate (via IoT networks)
- To integrate
- Analyze (advanced intelligence)
AIoT in action
Wearables continuously monitor and track patients’ health preferences and habits without fail. Applications of IoT-powered wearable devices include:
- health trackers
- smart bands
- Heart rate monitoring
Wearable devices track health patterns and transmit real-time updates to caregivers and doctors based on certain preset rules and algorithms to provide efficient and timely care and diagnosis.
For example, doctors would receive alerts if a particular condition was met, meaning your heart rate reached dangerous levels.
- Smart Watches
- Wireless headphones
- AR/VR glasses
Case of use: Fujitsu harnesses AI in data from its massive IoT network of wearables and connected staff devices to improve safety at work.
2. smart manufacturing
AIoT in manufacturing or a smart factory uses real-time data sensors and information to optimize:
- Supply chain
- Warehouse management (smart warehouse)
- And reduce unplanned downtime
The data generated from these connected IoT devices helps manufacturers anticipate challenges and avoid costly errors and injuries through predictive analytics.
- AI-powered autonomous robots
- automated SCM
- Predictive maintenance sensors
AIoT in retail involves various data points ranging from sensors and cameras to observing customer buying behavior and movements to predicting when they will arrive at the checkout counter. This would help staff to significantly reduce checkout time.
Also read: How is AI revolutionizing the retail and eCom sector?
4. autonomous cars
Tesla is the perfect example of AI and IoT working together. Tesla’s self-driving cars use advanced AI technology and intelligence to predict pedestrian behavior under various circumstances. Tesla’s cars tend to get smarter with every drive by leveraging machine learning and deep learning algorithms.
5. Smart House
Nest’s smart thermostat is a good example of an AI-powered IoT solution. Smartphone integration can manage and check temperature on the go based on temperature preferences and work schedules of various users.
- smart speakers
- IoT devices
Intelligent security and threat prevention
Smart devices can tell when they are under attack and can proactively prevent or shut down as needed. yes, a smart endpoint security solution You can protect all your endpoints, including connected IoT devices, laptops, mobile phones, wearables, desktops, and more, from security threats.
Intelligent risk management
Clubbing AI with IoT helps to understand and predict a wide range of risks. This helps manage employee safety and protect connected medical devices through IoMT security for intelligent risk remediation and vulnerability assessment.
The nexus between AI and IoT is quickly becoming commonplace as it continues to push the boundaries of big data processing combined with intelligent machine learning. In fact, the projected number of connected IoT devices worldwide is expected to exceed 75 billion by 2025. So as the number of devices continues to grow, the volume of big data will grow too. This is where artificial intelligence comes into the picture, lending its intelligent learning abilities to the power of IoT. It’s time for companies to let smart devices do the talking and point out where opportunities really linger.
Get in touch with our AIoT expert to see how it can help you get the best of both worlds (IoT and AI).
AIoT: When AI Meets IoT was first published by Futurism Technologies.