Compare the Top IoT Analytics Software that integrates with Omnio as of September 2024

This a list of IoT Analytics software that integrates with Omnio. Use the filters on the left to add additional filters for products that have integrations with Omnio. View the products that work with Omnio in the table below.

What is IoT Analytics Software for Omnio?

IoT analytics software enables organizations to view, monitor, and analyze data collected from IoT devices and machines. IoT analytics software allow companies to understand what's happening with their IoT infrastructure by collecting IoT sensor data. Compare and read user reviews of the best IoT Analytics software for Omnio currently available using the table below. This list is updated regularly.

  • 1
    IBM Maximo Application Suite
    IBM Maximo® Application Suite is a set of applications for asset monitoring, management, predictive maintenance and reliability planning. Get the most value from your enterprise assets with Maximo Application Suite. It’s a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. With market-leading technology from IBM Maximo, you’ll have access to configurable CMMS, EAM, APM and RCM applications, along with streamlined installation and administration, plus a better user experience with shared data and workflows. Manage and maintain high-value assets with AI and analytics to optimize performance, extend asset lifecycles and reduce downtime and costs. Streamline inspection processes with seamless, automated asset inspections driven by real-time data and artificial intelligence.
  • 2
    SAS Analytics for IoT
    Access, organize, select and transform IoT data with this complete, AI-embedded solution. SAS Analytics for IoT covers the entire Internet of Things analytics life cycle, providing streamlined, extensible ETL, a sensor-focused data model, advanced analytics, and an industry-leading streaming execution engine to perform multi-phase analytics. SAS Analytics for IoT is built on SAS® Viya® and runs in a fast, in-memory distributed environment. Learn how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. This course covers basic concepts of event stream processing, including what component objects are available to build event stream processing applications. Curiosity is our code. SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.
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