NASA Jet Engine Predictive Maintenance: Live AI Demo - byteLAKE

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NASA Jet Engine Predictive Maintenance

Predictive Maintenance (case study summary)

As we cannot share our clients’ data, we built this interactive demo using NASA’s public jet engine dataset to showcase the real capabilities of our latest Cognitive Services in predictive maintenance.

Key Features

97% Failure Prediction Accuracy
See how our models reliably predict failures before they happen — with clear confidence scores.

Explainable Root Cause Analysis
Instantly understand which sensors are driving risk with global and local explanations plus waterfall charts.

What-If Scenarios & Counterfactuals
Test maintenance actions in advance and see exactly how they extend engine life.

Business Explainer in Dollars
Turn technical predictions into clear cost comparisons, ROI, and strategic recommendations.

Industrial AI Agent
Chat with your data — ask plain English questions and get instant dashboards, summaries, and answers.

Disclaimer: This demo showcases only selected dashboards from our Cognitive Services. All visualizations can be fully customized to match your branding and needs. The solution integrates with industrial systems (MES, CMMS, SCADA, etc.) and can be extended with additional modules and features (i.e. AI Agent) as described in our case study and press release.

A complete Next-Gen AI solution for industry

Features

Advanced Analytics
For production optimization, waste elimination, predictive maintenance, and more.

Explainable AI (XAI)
Clarifies why AI makes decisions, ensuring transparency.

Private AI
Offering secure, on-premises Edge AI deployment with support for hybrid configurations.

Feature Engineering
Enabling physics-aware data modeling for enhanced accuracy.

Root Cause Analytics
Identifying and tracking the underlying causes of issues.

Seamless integration of data from various sources (IoT, SCADA, MES, CMMS, ERP, documents, and more), combined with human experience to create your Industrial AI Agent.

Serving industries such as Manufacturing, Automotive, Food Production, Energy & Utilities, Paper Mills, and more.

Industrial AI

Example Deployment

Predictive Maintenance
Use real-time (IoT) and historical data (SCADA, MES, CMMS) to filter false alarms, predict equipment failures, reduce downtime, and improve maintenance planning.

Root Cause & Waste Analysis
Analyze production data to identify causes of defects, inefficiencies, and waste—supporting faster problem-solving and continuous improvement.

Advanced Data Analytics
Detect hidden patterns, trends, and anomalies across your operations to support evidence-based decisions.

AI Agents
Trained on your manuals, specifications, and internal data. Interact with it like ChatGPT to process technical documents, assist with customer requests, and support daily operations.

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