Internet of things

Make the connection.

Bring algorithmic decision-making to product development, device maintenance, and network security with a data science platform.

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Transform IoT with machine learning.

As more and more devices produce and consume information, Internet of Things companies must extend their reach in order to keep up with the growing sea of data. From detecting machine malfunctions and network intrusion to decreasing energy usage to predicting accidents, the possibilities that IoT brings are endless.

 

The DataScience.com Platform sets IoT providers up for success by simplifying the process of getting intrusion detection models and maintenance predictions off of a data scientist’s laptop and into the hands of decision makers. Models can be built in a Jupyter, RStudio, or Zeppelin session in the platform, shared with teammates or decision makers in a report or project, and deployed as APIs for easy integration.

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A data science platform for IoT.

The DataScience.com Platform makes machine learning-powered IoT applications scalable with features that foster collaboration and reproducibility.

Never lose track of work

Organize models, reports, and files by project and invite collaborators. Track changes with version control solutions like GitHub, Bitbucket, or GitLab.

Power applications instantly

Deploy predictive models that make use of sensor data as APIs for easy integration with customer service software or other systems.

Support business intelligence

With the click of a button, deliver interactive reports and visualizations built with the open source tools and packages of your choice.

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Stay ahead of the information onslaught with a data science platform.

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Customer Success Story: Belkin

Customer Success Story: Belkin

Detecting IoT Network Intrusion With Plotly

Detecting IoT Network Intrusion With Plotly

Building a Lightweight Network Intrusion App

Building a Lightweight Network Intrusion App

How Belkin Increased User Satisfaction

How Belkin Increased User Satisfaction