Open Source has become the defacto way to build software. Everywhere we go, whether in the industry or not, we will come across open-source software and open-source software development. How and what are we doing in enabling the next-generation of up-and-coming developers to participate in open-source software development?
The RISC-V instruction set is now taking the world by storm. Since it is open source, many organizations designing their own processors and boards have leveraged it. If you are an IoT and Edge developer, you probably don't pay too much attention to processor instruction sets. This is understandable. However, IoT devices and edge nodes often benefit from being customized for specific use cases. Given this, it could make sense for you to leverage open source hardware and software together. But where will you find a comprehensive RISC-V based open source stack?
Fully embracing Open Source Software means to go beyond simply using it – it means to become an active member of the Open Source community. But how do we get there as a big automotive company? At Daimler, we decided that if we are going to take Open Source seriously, this needs to become deeply ingrained in the company’s “DNA”, away from a strict “we develop our own code” attitude.
Akraino KubeEdge blueprint project builds real world Edge computing user cases based on KubeEdge. The first case of this project is ML Offloading. With Artificial Intelligence democratized into mobile phones, the computing resource limitation of mobile devices is increasingly a concern. More and more apps running on mobile phones have to offload ML related operations, starting with the public cloud. Offloading to edge is a natural thought for latency and data security considerations.
The problem developers new to open source have is joining the community, starting to contribute, and using common open-source tools. In this session, attendees will learn how to contribute and become valuable a part of any open source community. Attendees will learn soft and hard skills based on two case studies: Eclipse MicroProfile and Apache TomEE projects.
In this talk we will show how you can build an Industrial IoT Solution with Gateway / Client and Backend fully based on Open Source Technology.
In this presentation, we would like to share with our audience how our bet on open source code helps us connect to a community of practitioners, gives visibility to our solution to a technical community and facilitates its adoption. We will discuss:
Text mining (also known as text processing) refers to methods for analysing pieces of unstructured text, to identify meaningful sequences in them, represent their meaning and classify them in classes related to its content. Examples of text mining techniques are sentiment analysis, emotion detection, keyword extraction, meaning representation and document classification.
In the past two decades, software has become increasingly important for the successful operation of any kind of business. In this context, the role of software developers has changed fundamentally – according to Stephen O’Grady, they are considered the “New Kingmakers”, i.e. the real decision makers in technology. One major disruptor that drove this shift in the role of software developers is the rise of open source.
Running an open source project is easy. All you have to do is make your source code available and you’re open source, right? Well, maybe. Ultimately, whether or not an open source project is successful depends on your definition of success. Regardless of your definition, creating an open source project can be a lot of work. If you have goals regarding adoption, for example, then you need to be prepared to invest. While open source software is “free as in beer”, it’s not really free: time and energy are valuable resources and these valuable resources need to be invested in the project.
