Intelligent Connectivity. Abdulrahman Yarali
lowest individual level. This indicates a significant amount of consideration for evaluating the factors involved in what personalized services the individual might want at any instance, or at any given time for that matter (Dong et al. 2017). These challenges have been tackled in very different ways by the assistants' actual developers, and they have also addressed them in different ways. One of the major ideas is that a virtual assistant must become compatible with any device in proximity, which would allow any individual to control things that surround them. Therefore, the virtual assistants will need to be integrated with the most advanced capabilities in processing and actuating actions as and when the expectations should arise (Militano et al. 2015). However, the entire breadth of the necessary operations inherently reflects the requirements of very high requirements from communication capabilities, resulting in the adoption of 5G network connectivity. It is therefore quite apparent that virtual personal assistants will greatly undergo improvement over time, especially with intelligent connectivity.
2.7.3.2 3D Hologram Displays
There is also the case with a 3D holographic display, which requires a significant amount of data to operate properly. This is specifically prescient about the most advanced display services that have become standard for software technology consumers at large. Under the present and standard 4G LTE network technology, however, this becomes a problem because the hologram display must be streamed in real‐time (Dong et al. 2017). With 5G network implementation, the factors of having increased value in speed and very low latency will inimitably mean that all of this is managed in the best way imaginable. However, there are still many other questions that relate to developing this notable form of technology. The most obvious among these is the specific “output display,” where such holograms would be projected (Katsaros and Dianati 2017). Under the current beta testing phase, this is made possible with the facilitation of 3D screens, which require some additional circuitry. Alternative options try exploring “virtual reality” technologies at large to bring forth the sense of this result in a completely roundabout fashion. However, most experts agree upon the fact that this entire projection still has significant room for development, as well as advancements at large.
2.8 Conclusion
It is quite an apparent fact that the entire cast of Intelligent Connectivity speaks greatly about the next‐generation communication capabilities to the greatest extent imaginable. However, one would be remiss if there was no mention whatsoever in terms of the advancements in processing and decision making it will bring forth. The point about computing technologies has long been about facilitating services that reflect minimum possible human intervention while also ensuring that there is enough personalized presentation, alongside a properly realized mode of complete cybersecurity at large. This is where AI will find its most consequential applications. There is also no doubt that the entire case of implementing AI brings forth a very high‐level requirement of a machine or deep learning, respectively. Looking at the AI as a self‐learning entity, it has become clear that addressing all of these factors represents challenges that are very hard to address and relate to. Moreover, the significant amounts of data required to be put into the entire field bring forth the overlying cybersecurity threat scenario reaching its definitive peak. This is the clear dilemma that sectors engaging in 5G connectivity, AI, and IoT must engage to the greatest extent imaginable.
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