Industrial IoT (IIoT)
Key Challenges and Opportunities
Unlocking the value of the ever-increasing volume of Industrial IoT data by:
- Providing context to transform data into actionable insights
- Delivering the most relevant performance and operational indicators
- Eliminating unnecessary data to optimize storage and reduce costs
- Democratizing data analytics so that operational teams can benefit from insights without relying on data specialists
Edge Predict
Turning Data into Actionable Operational Insights (available on Cloud or at the Edge)
A New Generation of Data Analytics built for operators, engineers, and domain experts—no need for data expertise.
With an intuitive rule-based approach, users can easily transform raw industrial data into actionable operational insights by:
- Cleaning and enriching data streams
- Creating meaningful context from machine and process data
- Prioritizing alerts based on operational impact
- Detecting emerging trends before limits are reached
- Identifying anomalies and abnormal behaviors in real time
- Cleaning-up unused data & storage cost savings estimation
These intelligent rules can be executed:
- On the Edge Spectrum Cloud
- On-Premise
- Or at the Edge (using hardware supplied and managed by Edge Spectrum)
To enable organizations to:
- Power real-time operational dashboards
- Automatically detect, alert, and track incidents
- Generate recurring performance and compliance reports
Transform data into operational expertise—without the complexity of traditional analytics tools.