## 5 Potential Use Cases and Applications
### Customer-Oriented Services  
_Customer Services:_ IEC has provided a wider range of customer services than ever before, as companies and organizations in the commercial sectors use intelligence computing in order to expand and improve their core services as well as create an opportunity to achieve more revenue with the latest services [69]. IEC works to provide these companies with enhanced situation awareness and ability to access data and statistical analyzes in addition to reporting incidents and sending alerts and notifications when necessary. Because of its ability to provide unified communication capability between employees, IEC has become a very attractive solution.  
_Cloud Gaming:_ Cloud games are a new type of game that broadcasts directly to game on devices (the game itself is processed and hosted in data centers) so that it relies heavily on latency [70; 71]. The idea of cloud gaming companies is to work on sophisticated servers that are as close to the players as possible in order to reduce latency and provide a responsive and immersive gaming experience. For example, developing a new cloud gaming technology called Orion. It is designed to enhance the video game streaming experience. Combining Orion with AWS Wavelength and Verizon's 5G network helps deliver a friction-free, ultra-low latency streaming experience that enables millions of gamers to play high-quality games at their maximum settings [72].  
_Augmented and Virtual Reality:_ both AR and VR greatly benefit from intelligence computing (IEC) because they require very low latency and high bandwidth. AR and VR are considered as the main trends currently dominating entertainment [73; 74]. For instance, Pokemon Go became the vast majority of mainstream gaming. In addition, virtual reality headsets have gained the popularity of AR and VR technologies skyrocket, and IEC technologies are being considered in order to take AR and VR to the next level [75]. Multiple-access edge computing allows rapid real-time data transfer between the device and the edge of the network. Its proximity provides the decisive factors for low latency, scalability, and high speed to play a non-portable VR/AR experience.  
_Commercial Operations:_ Besides customer services, multiple access computing is currently used in many business processes which in turn enhance the daily operations of companies and organizations all over the world [76; 77]. For instance, IEC plays a vital role in security, distribution for asset management and data routing. In addition, depending on intelligence computing architectures provides network operators with advanced surveillance and video analytics that aggregate data much closer to the source, where this data is processed, analyzed, and then stored.  
_Data Analytic:_ Intelligence Edge Computing helps to prioritize data that should be analyzed, stored, or remain on the edge for further processing, in addition to determine which data should return for analysis to data centers [78]. It is acting as a relay station while providing additional computing power for mission-critical analytics that should remain close to the end-users [20]. Due to the huge generated data by one vehicle using IEC, there is a need to run this data with powerful analytics software to generate actionable information of value to the business [49]. For instance, a single autonomous vehicle can generate about 30 terabytes of data in a single day.