Page 48 - AI Ready – Analysis Towards a Standardized Readiness Framework

AI Ready – Analysis Towards a Standardized Readiness Framework

Appendix A: Detailed analysis of the use cases and AI impacts on

the use cases.

Table 2: General use case analysis and AI impacts

Examples Potential AI impacts
Actors
1. Smart or autonomous vehicles. Sensors (e.g. Lidar, cameras, radar),
including passengers and drivers, drones [60].
2. Commercial vehicles (e.g. delivery trucks).
3. Remote-controlled/driven vehicles.
4. Edge data acquisition e.g. soil, leaf, and weather sensors, Piezometer, and
water level sensor. [66] [71].
5. Sensors with specific capabilities (e.g. night vision) and underwater capa-
bilities (e.g. pH, O2, turbidity), sound sensors with noise filtering [66].
6. Pre-processing to enhance the image quality (e.g. Robotflow [55]), data
augmentation using AI/ML [60]
7. Data capture using drones (e.g. drone-mounted cameras), Drones with
object detection, and satellite-based coordination for rescue opera-
tions. Drone-2-drone or drone-based station communication. Drones
with limited batteries at the same time route optimization algorithms to
increase Area coverage [52].
8. IoT gateways [22], LoRa gateway
edge actors 9. Open Data portals maintained and updated by government actors [3].
E.g. from [50] on early warnings and weather data, aggregated data from
local farmlands [66] [71] [41] from IEEE, [13] from Kaggle.
10. Actors involved in Cross-border logistics e.g. transporters, insurers, and
government agencies [50].
11. Local communities and tribes [51]
12. Power utilities and companies [51]f
13. Doctors, patients, medical history records [2] [68], farmers [60], and
persons with disability [77]
14. State regulators [57] [58]
15. Public users and citizens [59]
16. User devices and smartphones [68] [2] [43]
17. Wind power plants, rooftop solar panels [80]
18. Camera inputs and edge models with cloud based large model combina-
tion [1]
19. 5G/6G Network operator using Digital twins, extended reality for network
resource allocation [93]

1. AI-based resource allocation for low latency, higher throughput, and
edge intelligence [11]
Deployment 2. Private 5G networks. Managed/operated by enterprises
capability with 3. Protocols e.g. MQTT [56]
Network-based
actors 4. Transport protocols with error resilience such as TCP/IP
5. Wifi
6. LoRa

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