The following are some examples of applications and industries where this combination is producing big results:

1. Healthcare and Wellness: 

In the healthcare industry, the combination of Edge Computing and AI can transform medical care. For example, a company could develop a mobile application that works with wearable devices to track patients’ health statuses on a continuous basis. The wearable devices could send biometric data directly to the patient’s mobile application, and an AI algorithm at the edge could analyze the data in real time, so if there was an anomaly an alert could notify the user and with their permission inform their physician or healthcare provider.

2. Smart Manufacturing:

In manufacturing, Edge Computing and AI can help streamline processes to become more efficient and reduce operating costs. For instance, a factory could use IoT sensors on its production equipment, to continually collect data on performance and quality. This data could be processed using AI algorithms at the edge to detect patterns and anomalies.

3. Personalized Retail Experiences

Edge Computing and AI can be used by retail companies to develop very personalized and customized shopping experiences. Using a variety of sensors found in physical retail locations, a store can observe the behavior of customers – how long they spent looking at a specific product, that item they picked up, which store displays seem to be catching their attention, and when customers are at a full stop. 

4. Logistics and Transportation

In logistics and transportation, Edge AI and technology can be used to enhance fleet management processes by changing the dynamics of supply chain efficiency. These sensors will be built into the vehicles and while in operation collecting real-time data tracing the vehicle’s location, operational performance, and road conditions in locations they are operating. Edge AI algorithms can execute predictive analytics in real-time at the edge, optimizing delivery routes in real-time based on traffic, weather, and other contingencies. 

5. Entertainment and Media

The entertainment industry is well positioned to utilize Edge AI for personalization of content and improve media engagement. For example, video streaming platforms can analyze user viewing behavior live to evaluate user preferences and viewing patterns in suggesting new movies and shows. 

6. Education and Digital Learning

Edge AI is helping transform educational practices by facilitating personalized learning experiences and providing greater connection between teacher and student. Online educational platforms can track student learning progress through the platform and continuously personalize the course materials. The AI algorithm provides visibility into the learner’s strengths and weaknesses and is capable of making integrated recommendations for personalized content. 

7. Financial Services and Banking

Banks and other financial institutions can use Edge AI to provide enhanced security and more personalized experiences. Edge AI utilizes real-time data processing and can use detection capabilities based on behavioral analysis to detect potential fraud. Mobile applications can then generate alerts whenever suspicious activity is found, while also having security administration options like two-factor authentication and temporarily blocking a card.