Intelligence on the Edge – The Edge AI
In the age of innovation, as data continues to grow, there’s a real need for data storage and data computation to be located on the device.
Privacy, security, and speed are the most consequential reasons that the distributed Edge model can work great in specific use-cases.
When we are all concerned about our personal data being stored in a cloud server, what if the app can manage our personal data on device instead. With Edge AI, personalization features that we require from the app can be performed on the device.
Transferring data over networks and into cloud-based servers allows for latency. At every endpoint, there are security risks associated in the data transfer.
AI Needs to be on the edge
If you are wondering where AI is headed, now you know, it’s headed to the edge. Edge computing is the theory of storing data and computing data right at the location where it is needed. The global edge computing market is forecasted to attain 1.12 trillion dollars by 2023.
There’s a real need for developers worldwide in this new market.
Edge AI Training – An Opportunity for All Types of Developers
At the beginning of the AI evolution, we were concerned with crossing over from statistical models to data science, machine learning, and building algorithms that run on the Cloud. Now, software engineers frequently notice that their projects are naturally scoped to incorporate an AI component.
You don’t have to be a machine learning engineer to know about deep learning or reinforcement learning.
Now, IoT developers who may have been sitting on the sidelines working on software projects that are more feature-based than data-based will have an opportunity to get involved in the AI evolution.
The Intel® Edge AI for IoT Developers Nanodegree Program will introduce students to the Intel® OpenVINO™ toolkit that will enable developers to deploy pre-trained deep learning models by a high-level C++ or Python inferring engine AP integrated with application logic.
The Intel and Udacity Collaboration
This Intel and Udacity collaboration will be the pioneer program that will yield the foundation of training in Edge AI for the upcoming years to come.
Just like Udacity’s hugely popular machine learning and AI Nanodegree programs, Intel® Edge AI for IoT Developers Nanodegree Program will facilitate streamlined training, project-based learning, mentorship and certification that will enable for a prompt ramp-up of both AI and IoT development knowledge.
For computer science majors fresh out of school looking for an entry point into the industry, this type of program can offer both opportunities and skills that bridge the gap between education and real-world applications.
The Vision of Edge AI
At a time when we are all concerned about our job security and prospects due to the coronavirus pandemic, it’s good to know that there are new paths to explore. If you don’t currently work in manufacturing or healthcare, it’s difficult to envision Edge AI used on factory assembly lines, and in Urgent Care medical imaging equipment.
But, how about imagining the technology in drones, security cameras, robots and self-driving cars?
There are many smartphone apps that we use day to day that can potentially deliver more personalized features through an AI component.
“The value and impact of Edge AI applications is showing no limits when it comes to use cases. The ingenuity of companies during this COVID-19 crisis is humbling. Industries including public safety and healthcare, for example, are designing and deploying solutions now that leverage AI and computer vision technologies to deliver accurate and real-time insights to help with tracking, testing and treatment. The technology exists, we are only limited by the imagination at the scale of the developer community.”
-Jonathan Ballon, Vice President and General Manager, Internet of Things Group, Intel.
This Edge AI evolution is the next generation of AI evolution that will transform the way that we communicate with our devices and offer better and more reliable ways to deploy AI applications.