IOT GE Predix Building Blocks and Developer Kit

Predix is an online internet platform to connect IoT devices to resourceful analytics. It uses a platform as a service(PaaS) to solve concerns by various industries on the basis of cloud. This allows developers to focus on developing the applications while the heavier functionality is taken care of by Predix.

They offer high level services with end to end security. It allows for the real time transfer of data among various IoT devices. It also offers to perform analytics on the collected data and information to produce generic results.

What is GE Predix?

GE created predix to as a cloud platform, Platform as a Services specifically target IoT applications. The main aim of the platform is to network, manage and collect data from industrial IoT devices. GE Predix performs data analytics on large amounts of data for further maintenance and operations.

It offers digitalization to large companies and organisations to transform their environments through IoT. This allows companies to scale their assets and profits and make better decisions about their products and services.

GE mainly targets companies that offer manufacturing and operation that strive for growth and technical development.

Building blocks of GE Predix

1. Predix system

This provides all the necessary software and in-built applications to set up and get started with Predix. It offers all the services that make machines intelligent to interact and connect with industries and platforms.

2. Security

Security is a vital part of an IoT application . Ge predix strives to offer system security and safety. It cuts down risks and allows a complete view of the ecosystem.

3. Industrial analytics

Predix offers insight into the data and information of any organisation that allows stakeholders to make better and well-informed decisions. It uses tools for predictive analysis to contain and collect information about the assets and processes.

4. Digital twins

With predix users can easily create dynamic models of systems in order to use digital twin applications more efficiently and reliably.

5. Machine learning

Machine learning is the process of teaching machines to make well informed and repetitive actions. One can analyse the data collected by machine and perform operations such as monitoring, control and management.

6. Mobile apps

Mobile phone applications supply data synchronisation from remote locations. They allow one to track and manage their assets from different locations.

GE Predix partnership with Microsoft Azure

The global partnership between Microsoft and GE brings together Azure and Predix to connect and support industrial customers. Through this partnership, the IoT platform is available on Microsoft cloud. This enables users and consumers to make use of the various cloud applications in a strategic manner.

It also makes use of external features such as AI, natural language processing. This provides customers with more choices to interact with the data securely. It connects IoT devices and machines to the internet via cloud. Azure offers its customers more support and growth by offering access to cloud footprints.

GE Predix available on AWS and Microsoft Azure

GE is making efforts to establish Predix on all popular information as a service providers(IaaS). Predix runs on AWS and Azure by Microsoft. This offers customers to choose from various applications. GE’s partnership with Apple allows customers to operate Predix applications from their Iphones and Ipads.

Developer kits

Predix offers its customers developer tools that were made in partnership with Intel and Ge. It easily connects sensors to the industrial IoT and allows you to begin exploring IoT more easily and in a hassle-free manner.

The kit contains a NUC gateway, the Linux OS, and flash memory with 4GM memory. The sensor kit contains vibration and temperature sensors. Finally, the software package includes a Predix application to get hands-on experience with the development kit.

Edge analytics

GE digital uses artificial intelligence and methods such as predictive analytics to establish its position in the industry. In order to allow data analytics close to the data source it allows predictive analytics at the network itself. This reduces time and cost.

With edge analytics only the data requirement is sent for cloud computing as the data processing takes place in a large amount at the IoT gateway device. The data required by the business application is sent.

GE Predix is accessible on amazon and microsoft platforms and it aids machine learning, AI and predictive analysis.

Advantages of GE Predix

1. Agile and continuous

It lessens the time taken to deliver services and as the apes evolve it offers new services. This makes space for new capabilities for manufacturers to explore and conquer.

2. Standardised and predictable

It has in-built service architectures to reduce time load to create operations. It has pre-build tools and common products for consumers to use directly.

3. Industrial workload optimization

Industrial assets create and collect huge amounts of data. This data needs to be optimised at a constant rate to ensure proper functioning of the system.

4. Expands in order to meet needs

You can start off with a smaller workspace for new startups and as your business increases its size and profits, you can opt for bigger services.

Summary

In this article, we looked at what GE predix is. We further looked at the building blocks of GE predix. We also learnt about GE predix partnerships with Microsoft Azure and AWS by Amazon. Then we learnt about developer kits, edge analytics and finally, we looked at the advantages of GE predix. We hope you liked our explanation.