It's a storm of technological advancements: artificial intelligence, network virtualization, 5G, containerized applications, and neural processing units. As new technology enables greater connectivity, the race to a smart society based on the "internet of things" accelerates.
Thanks to open source collaboration, the journey has become a cooperative rather than a competition without measures. Software developers understand that combining knowledge and resources is more productive than working on their own, and collaborating on projects overcomes political and geographic differences.
"Whether in Europe, Asia, China, India, Japan, developers are coming together very well through a common government that crosses borders," said Arpit Joshipura, manager of networks and IoT at the Linux Foundation.
Joshipura talks about the upcoming projects of the Open Source Summit in China and the Linux Foundation for advanced computing, deep learning, and networking.
Open source is experiencing an explosion in China, where the level of taxpayer is "very aggressive", according to Joshipura.
"There is a whole dimension of projects there," Joshipura said. "There will be a lot of information about artificial intelligence and deep learning, as many more algorithms will come out of Tencent and Baidus and Alibabas of the world."
The event will focus on topics such as networking with 5G and the implementation of the Open Network Automation Platform, ONAP for the orchestration and automation of virtual networks that are under the umbrella of the Linux Foundation project.
"We are seeing a cross section of projects at the Open Source Summit and KubeCon, all integrated in Shanghai," said Joshipura.
Collaboration for a common good
With the great potential of being ready to test yourself in real-world applications, an “entirely new market” is about to emerge.
However, lack of collaboration between market sectors is leading to an advantage that it is "completely fragmented," according to Joshipura.
This fragmentation is not productive, since all industries face the same problem basic: life cycle management.
The Linux Foundation's Edge project brings together the expertise of its more than 70 members to create a common lifecycle management framework for edge computing.
Deep learning platforms
A parallel project to Edge of the Linux Foundation, is the Linux Foundation AI project, with a focus on innovation in AI, machine learning.
“The community of data scientists, researchers, entrepreneurs, academic institutions and users creates frameworks and platforms that do not require a Ph.D. to use: frameworks you can use to get business results, ”said Joshipura.
In an example telecommunications use case, drones are used to inspect base stations and perform maintenance analysis.
This information can be used by other operators around the world, reducing the need for repetition. Another benefit is that operators do not have to understand machine learning algorithms.
But sharing data can be a sensitive issue.
The Linux Foundation has "solved that problem" with your Community Data License Agreement, according to Joshipura.
The license works by treating data as code and applying best licensing practices that follow Apache models and then integrate the data with deep learning models in a style similar to how Amazon vertically integrates its SageMaker machine learning service.
Along with the previous two projects comes the network and we are in the second year of Linux Foundation Networking and we are very excited about the progress that has occurred, ”said Joshipura.
There is a lot of energy within the ecosystem, with the top 10 active network providers members of the Linux Foundation and 70% of the world's mobile subscribers represented by operator members.
Collaboration extends beyond the boundaries of each Linux Foundation project, with groups working to work together.
“We have Hyperledger timings that work for telecommunications. We have automotive grade Linux that has connected cars working on the edge. "Each project is autonomous and independent, but it is related," Joshipura concluded.