Edge Computing as a new approach has uncovered opportunities to implement fresh ways to store and process data. Edge computing has many stored-in answers for many enterprises for multiple problems and will be a real-time efficient solution. https://www.datatobiz.com/blog/ai-edge-computing-technology/

1. AI Edge Computing
Technology
Edge Computing and Its Future

2. What is Edge
Computing?

3. Imagine a number of machines, connected internally, sharing data,
space and computing, now that’s simply Distributed Computing.
Edge Computing, similar to Cloud Computing is built on same
Distributed Computing Architecture but differs largely when it brings
Data Storage and Computing handy to the end user.
Edge Computing simply implements decentralisation, making sure
to abolish the need to send the data back and forth from user to
centralised data storage. Processing and analysing of the user data
is happening right where data is closest, at end user.

4. Why does Edge
Computing Matters?

5. There’s always many reasons for why any technology is introduced and
implemented. Edge computing enables you to safe guard your sensitive
data at local level, by not sending every data part to centralised data
storage. Latency is impressively reduced by not having to make round
trips to the centralised data storage.
Though Cloud and Edge Computing share their Distributed Computing
Architecture, edge computing overcomes issues of Latency and
bandwidth happening over cloud. Many of the operations happening will
be largely depending on the hardware capacity of the end user device
instead of centralised data systems. Also increasing the chances of
reaching out remote or low network locations.

6. Advantages of Edge
Computing
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7. To begin with, Edge Computing has great ability to enrich the network
performance. Latency in network has been major cause for delay and edge
computing solves it with its architecture to provide data near the user.
With security perspective, it is a genuine concern that with making the network
available to the user, it could be used as easy entry point for attacks and
malware insertions. But the Edge Computing architecture of Distributed
Computing prevents such attacks, as it does not transfer data back and forth to
the central storage or data centre.
And it is easier to implement various security protocols at edge and not
compromising the whole network. Most of the data and operations are
performed on local devices.
The need to establish private centralized data centres for collecting and storing
data is a past concern now. With Edge Computing, companies can harness the
storage and computing of various connected devices at low cost, resulting in
immense computing power.

8. As we understand that the edge computing brings the enterprises or the
solutions to the end user, opposite perspective will be that these large
enterprises can easily reach their specific markets on local level.
With local data centres, chances of network crash or shut down are way
reduced. With number of local data centres, most of the problems can be
detected and solved at end user level and need to engage centralised
systems will be not required.

9. Industries Utilizing Edge
Computing

10. With every new technology in market, many industries have their shares of benefit.
Edge computing is set to help Customer Care Industry widely. There has been
impressive attempt to implement Artificial Intelligence with Customer support and
voice assistants like Apple’s Siri and Google Home.
Cisco, a company well known for its communication tools has begun experimenting
with edge on their cloud networks. IBM now offers you to combine your edge
computing experience with WATSON. Other than that, IBM scientists are working on
developing a technology to connect mobile devices without Cellular Network or Wi-
Fi.
Drones are being used for various purposes and edge technology can used with
drones for functions like visual search and image recognition, Object tracking and
detection. With AI, drones can be trained to function as a human search psychology
does in matters of identifying objects and faces.
Industries will benefit from more and more computing devices being connected to
IoT network, which will help these industries in reaching wider network, providing
flexibility and reliable services.

11. What could be AI’s role in
Edge Computing? What is
AI Edge Computing?

12. To put it simply, AI on Edge Computing will have an incredible ability for AI
Algorithms to be executed locally, on end user devices. Most of the AI
algorithms are largely based on neural networks which required massive
amount of computing power. Major companies manufacturing Central
Processing Units (CPUs), Graphics Processing Units (GPUs) and many
higher end processors have pushed the limits and made AI for edge
computing possible.
These algorithms will function effectively with local data collected and
stored. Another factor will be requirement of training data for such
algorithms, which is a lot smaller for edge computing devices.
There have been subtle attempts to implement such AI models on edge
computing, which is result in impressive benefits to enterprise as well as
to the end user.

13. To read the full article
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