ClearBlade debuts edge-based forecasting AI for real-time industrial predictions
ClearBlade, an IoT platform and edge AI company, launched the forecasting AI component within its intelligent assets application, enabling real-time prediction of asset behavior using historical and live data without requiring advanced technical expertise.
The solution enables users to forecast future equipment conditions, resource requirements and operational risk by embedding ML models within operational processes.
Forecasting AI runs at the edge, enabling predictions to function even under connectivity challenges and offers a no-code interface for simplicity of use by business and operational staff.
“We built Forecasting AI to give operational teams the power to plan ahead without waiting on a centralized analytics team,” says Eric Simone, CEO of ClearBlade. “By embedding forecasting directly into Intelligent Assets, we’re helping customers drive measurable ROI, not just AI experimentation.”
Key use cases are predictive maintenance, intelligent energy management, facility optimization, fleet monitoring and utility planning not to mention inventory/supply chain predictions.
The component also fits neatly into ClearBlade’s digital twin platform, with no need for external systems or infrastructure changes. Running on Google Cloud’s Vertex AI, BigQuery, and Gemini models, it provides industrial-strength intelligence in an enterprise package.
This is the third AI Component from ClearBlade joining Anomaly Detection and Intelligent Video Analytics to enable modular, edge-friendly AI solutions.
Article Topics
AI/ML | ClearBlade | digital twin | edge AI | IIoT
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