Tuesday, November 29, 2022
Published 3 Years Ago on Monday, Apr 06 2020 By Inside Telecom Staff
In our digital world, both AI and IoT are significantly changing so many aspects of our lives. The amount of IoT devises that connect to the network is increasing at a rapid rate. By 2025, we are expected to have 41 billion connected devices.
This increasing amount of connectivity means that the data
flowing back to the cloud is also on the rise. However, it is not a scalable
model to pump all the data back to the cloud for processing. Processing this
data at the cloud would push network bandwidth requirements to the limit. Data
centers are already struggling to guarantee transfer rates and response
Data is now the new oil, however very few companies are able to
extract the value from it, despite being surrounded by masses of IoT data. The
real value lies in combining datasets from various IoT devices by understanding
and interpreting patterns that are able to predict future trends. This is where
the potential of AI on the edge comes in and is able to restore true value back
Today, many edge devices have integrated compute power. Many IoT
edge device have GPU (graphics processing unit), TPU (tensor processing unit) or
VPU (virtual processing unit). As an example, some of the most advance security
cameras now feature GPU cards and this enables them to run AI-based image
recognition models on the edge itself, instead of sending all the HD video back
to the cloud to be processed. Moving processing to the edge ensures for a
better response time and a decrease in bandwidth usage.
For an oil and gas refinery that has 1000 edge GPU cameras, one
would want to deploy different AI models on different camera nodes based on the
location and differences that the cameras were attempting to detect. A red zone
in an oil and gas refinery is an area where there is a high chance of fatality
due to the possibility of a gas leak. Thus, people entering into this zone need
to wear protective gear. Cameras focused on a red zone might detect Health and
Safety noncompliance, like not wearing breathing apparatus, and then trigger
alarms, thus saving lives.
AI on the edge will enable us to make more sense of data. Its
uses are broad and can be applied across numerous industries and verticals,
including patient monitoring in healthcare and evaluating the health of crops
Running these models on the edge must be well thought out. Once the edge has been loaded with AI models, the easy part comes to an end. They should be monitored continuously for performance standards and optimized depending on their scenario.
The diverse nature of connected devices on the edge has come
with a unique set of challenges. Remote positioning and deployment of the
models and monitoring of the performance is another area that contains huge
possibilities. There needs to be a tough mechanism to deploy and perfect the AI
models remotely. It is also critical to monitor the health of the hardware.
Monitoring continuously is also a massive job along with the
continued deployment, debugging and fine-tuning of AI models on the edge. Few
companies have made real progress in this regard.
Security is always a critical aspect
that can’t be overlooked. When processing is closer to the edge this puts more
stress on having a solid security in and around the edge. Security therefore
needs to have a multidimensional approach to ensure the safety of the hardware
and software stack.
Using AI to power the edge is a potential gold mine
that is waiting to be harnessed and has immense potential to bring value to
businesses. AI on the edge in the world of IoT will help to provide intelligent
and real-time decisions from companies in a cost effective manner.
In 2010, Qatar shocked the world when it won the right to host the World’s greatest sporting event. In contrast, the financial capability of Qatar was never in question. The main concern was the heat. Qatar has a very demanding climate, especially for the players. But the nation took it on as their biggest task […]
Stay tuned with our weekly newsletter on all telecom and tech related news.
© Copyright 2022, All Rights Reserved