Cloud computing, and technologies that build on it, are among the fastest-growing IT disciplines today.
Big data, predictive analytics, machine learning, and the Industrial Internet of Things (IIoT) are evolving rapidly.
To support institutions offering higher education in science, technology, and engineering to keep up with the pace of innovation, MindSphere has created a budget-friendly offering for non-commercial educational use.
MindSphere for academic use is based on our Premium Capability Package. It is designed to support and enable a diverse range of subjects, projects, and research. Optional add-ons including apps, services, and additional cloud resources are available for more specific set-ups. Meet MindSphere for Academia.
Premium Capability Package
The Premium package unleashes the full capability of MindSphere at scale. Discover the semantics of data on a large scale using the Semantic Data Interconnect (SDI) and Integrated Data Lake (IDL).
1000 Asset Attributes
Assets are the digital representation of machines or buildings in MindSphere. Asset Attributes, such as temperature, pressure, or speed, can be static or dynamic. This package provides you with 1,000 Asset Attributes to configure your data model.
This package provides you with cloud resources, like time series data ingest, time series data storage, file storage, compute hours, rules, KPIs, notifications, or events.
Store structured, semi-structured, and unstructured data with MindSphere. Get Integrated Data Lake resources in the cloud for data read/write, read, write and search operations or storage of data and objects.
Semantic Data Interconnect
This contextualized data integration framework allows institutions to maximize the value of IoT data and data from disparate sources.
Learn to build and deploy prediction models using machine learning techniques. This unit takes a Python-centric approach and will include Jupyter Notebook.
Condition monitoring, predictive maintenance, and edge-based data preprocessing with out-of-the-box and custom KPI calculations.
XA Membership for Academics
Learn about MindSphere core components, how to connect assets, develop applications with traditional code and no – or low – code, and how to use MindSphere to analyze data.
Experimenting with our start-for-free package creates opportunities to explore, experience, and get creative with industrial IoT. Newcomers can jump right in – or join guided tours and courses to get a lay of the land. If you want to change the duration or scope of a start-for-free project and add more apps, assets, or contributors, you can opt to migrate your project to MindSphere for Academia.
No download required
Up to ten assets and three apps
Connectivity and data options
Asset Manager, Operations Insight, Visual Flow Creator, and Developer Cockpit
Free access to the Xcelerator Academy for educational institutions
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