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Introducing fog and edge computing process is critical to reduce the number of direct connections and to act faster than if the data had to travel to the cloud and back. These systems alone can generate a lot of data, and the velocity and volume of this kind of data can overwhelm systems that are not prepared for it. Managing this data is key to delivering organizational insights.

Machine Learning and the “artificial” generation of knowledge and experience.In process chains and IT architectures that are becoming increasingly complex, automation is also a good starting point for Machine Learning. If the volume increases or you want to switch to a different cloud infrastructure, it is beneficial to operate these services yourself on the Kubernetes Container ManagementWhile IoT projects in most companies usually start with external assistance, you should make sure that, at the least, the parts that differentiate the digital product and implement their own intellectual property are soon covered by the company’s own developers. It’s time to view cloud as a reliable, trusted and secured service.Creating applications through cloud services (SaaS) facilitate remote device registration, updates, diagnosis in minimal time and reduction of operational and support costs. On the one hand, this applies to the development of appropriate skills and consultation programmes, but above all to the development and operation of appropriate IT infrastructures. During this post, we will talk about pros and cons of each one.PickData will attend to IoT Solutions World Congress 2019, the leading event in Industrial Internet of Things sector in Europe, taking place from October 29th to 31th. July 31, 2020 06:41 AM Eastern Daylight Time. In the early phase of digital products, creativity and exploring the technical options are important. The perfect aggregation point for all the data of all your facilities, accessible from almost anywhere and free from infrastructural or networking constraints.In the past, big companies have called into question the security of the cloud because they felt it as losing the ability to touch and view their data “at home”. Here we present the main benefits of using a cloud-based IoT platform:If you decide to install an IoT platform onsite you are permanently involved in network infrastructure upgrades, capabilities analysis and high maintenance costs. What role does a digital ecosystem play? Networked products and software-based solutions are the drivers of growth, especially in the manufacturing industries. With easy-to-use, cloud-based Machine Learning offers from the large-scale cloud providers, it is becoming far easier to process data on recommendations or predictions, even if you are not an expert, as the established cloud platforms also offer hybrid Machine Learning concepts that also allow for autonomous parts of the algorithm to be on Edge Devices.Furthermore, Edge Computing ensures more efficient data transmission and local pre-processing and, for example, completely new applications to be generated through Cloud Native and analytics applications.In addition, the topic of connectivity and transmission technology is an essential driver and plays a significant role for IoT scenarios.

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