The convergence of AI (Artificial Intelligence) and IoT (Internet of Things) has unlocked tremendous potential for global enterprises. The use of IoT is proliferating, with up to 50 billion connected devices expected by the end of this year. Combined with artificial intelligence, this new wave of technology could open up new opportunities that could transform the way entire industries operate. To illustrate this potential, we’ve collected five emerging AI IoT applications.
Self-driving always sparks the imagination, but this is a great example of how AI and IoT can work together. Self-driving cars are equipped with sensors that need to constantly collect large amounts of data about their surroundings. Using artificial intelligence models to process this data into intelligent insights allows vehicle navigation systems to coordinate with their surroundings in real time and perform complex path planning in real time.
Computer vision-enabled quality inspection is one of the largest applications of AI. Automated optical inspection scans industrial machinery for quality defects, and once a defect is identified, a semi-supervised machine learning algorithm model classifies the image into a failure category or predicts scheduled maintenance. AI-based IoT solutions provide predictive maintenance applications for companies to predict equipment failures in advance.
According to data, 20 billion IoT devices will be connected by 2020. It is predicted that by 2030, approximately 50 billion IoT devices will be installed worldwide. This ubiquity will make them an attractive target for attackers.
As a countermeasure, AI-enabled cybersecurity systems can detect network vulnerabilities, protect valuable data and stop cyberattacks. Artificial intelligence systems can understand common patterns of activity and determine when unusual activity is occurring, which can reduce the frequency of false alarms and can reveal ongoing cyber attacks.
The convergence of IoT and AI has garnered significant attention with the outbreak of the new crown pneumonia epidemic to address the need for smart health monitoring and pandemic management.
Wearable IoT sensors can track patients’ vital signs and provide real-time updates to physicians and caregivers to alert them of any significant health events. Artificial intelligence with machine learning algorithms can analyze large amounts of data to provide important insights into people’s overall health status. This eliminates the need for any manual intervention to maintain records and frees up medical staff to tackle more important tasks. With the outbreak of the Newcastle Pneumonia outbreak, the convergence of IoT and AI has received a lot of attention to meet the need for smart health monitoring and pandemic management.
IoT and AI can play a role in reducing energy consumption. HVAC systems account for a large portion of a building’s total energy consumption and are a large part of any industry. Machine learning programs that learn from past efficiencies have been shown to reduce energy consumption by as much as 20%.
Smart streetlights equipped with IoT sensors can collect data about traffic and pedestrians, allowing the system to save up to 80% on energy costs. Artificial intelligence features, as well as machine learning and deep learning algorithms parse the data generated from IoT sensors to track real-time energy consumption.
In short, the demand for intelligent IoT will continue to grow across industries, from Fortune 500 to emerging companies. Enhancing the IoT with artificial intelligence has the potential to open up opportunities to create new products. Machine learning, natural language processing (NLP) and other disruptive technologies encourage accelerated interactions between businesses.
AI IoT continues to drive data processing and smart business and will continue to play a role in the years to come.