Machine Learning

Generate timely insight from data for actionable intelligence

 

The true value for a connected business is the insight generated from sensor and device data that helps an organization make optimal decisions.

The M2Mi Intelligence application includes Machine Learning and FlowChain templates for distributed analytics to alert, observe trends, and visualize insights in order to create actionable intelligence for the business

Machine Learning Features and Benefits

  • Distributed analytics across edge, gateway and cloud +

    The M2M Intelligence architecture enables a distributed analytics capability - thus providing insight closer to the data source or wherever the optimal location is. The analytics modules can be consistently executed to gain insight at the edge device, a gateway location or back in the cloud

  • Built-in lightweight analytics templates to build solutions quickly +

    M2M Intelligence comes with built in templates to rapidly create lightweight in-stream analytics FlowChains for your data. FlowChain analytics are field aware – i.e. they understand the types of operations available for a string compared to a number and can make building a solution quick and error free.

  • Drag and drop customization of FlowChain analytics +

    M2M Intelligence allows you to use simple drag and drop capability to combine analytics modules and create custom FlowChains. This, combined with the ability to customize existing standard FlowChains, enables an organization to build specific analytics solutions to fit their particular scenarios.

  • Standard logic tools available for data operations +

    Logic operations are used by analysts to combine and filter data in interesting ways. M2M Intelligence provides standard logic tools such as join, split, union to perform parallel and serial operations on data sets.

  • Discover and report trends in the data streaming into the platform +

    The M2M Intelligence analytics engine can look at the incoming data stream to perform trend analysis. This includes analyzing the data to determine if there are any trends, update trend lines, monitor changes in trends, compare multiple trends for relationships.

  • Create triggers and generate alerts if data is out of normal bounds +

    M2M Intelligence FlowChain in-stream analytics can filter data to remove outliers, parse meaningful value and determine insights for required actions. It can also set alerts through SMS, email, data routing to notify applications, MQTT brokers, users if certain data sets are out of normal thresholds.

  • Closed loop infrastructure actions to respond based on insight +

    The M2M Intelligence application has deep infrastructure integration (firewalls, cloud VMs, networks, policy engines, Lockbox security) and a comprehensive set of operations to be able to automatically make changes to infrastructure, devices, usage or security posture based on insights or alert applications, services or users of insights gathered.

  • Data and trend visualization using rich graphics +

    Data analysts use rich visual graphs to quickly understand large data sets, observe trends and help in rapid decision making. The M2M Intelligence application provides rich graphing and visualization tools so you can observe the data at various stages, such as from the device, after certain filtering actions, or based on FlowChain analytics.
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