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Average Ratings 0 Ratings
Description
Reduce technical engineering-related risks that can affect performance, operational reliability, and maintenance costs through the use of modeling, analysis, and decision support processes. The MADe system facilitates improved decision-making regarding the design and maintenance of safety and mission-critical equipment throughout the entire product lifecycle. By employing interdependent analysis capabilities, it addresses the technical, operational, and economic needs of the system's operators and maintainers, thereby mitigating risks effectively. Furthermore, MADe serves as a comprehensive analysis tool that produces the necessary documentation for Airworthiness certification. Conducting analysis concurrently with the design phase enhances the efficiency of the certification process significantly. Additionally, MADe meticulously tracks the origins of all parameters utilized in its analyses, ensuring a robust mechanism for evaluating the quality of data that informs engineering decisions and assessments. This attention to detail ultimately strengthens the reliability and effectiveness of the engineering processes involved.
Description
Relying solely on machine learning often falls short, as it primarily offers predictions or classifications without providing a clear path to achieving desired objectives. In contrast, a Decision Intelligence (DI) model connects actions to their outcomes, making assumptions and predictions clear, allowing for adjustments based on data or expertise as organizations evolve over time. For venues such as event centers, sports arenas, educational institutions, corporate offices, and industrial sites, the challenge remains: how can they effectively reduce the risk of COVID-19 transmission? Many entities seek to exceed the minimum safety measures set by health authorities for enhanced protection against the virus. Much like how pilots utilize simulations to refine their flying skills, our Pandemic Action Advisor (PANDAA) empowers organizations to model the impact of various safety measures—such as mask mandates, HVAC adjustments, social distancing protocols, and Far UVC lighting—tailored to the unique layout of their facilities and the specific movement patterns of staff and visitors. As we navigate this complex landscape, it's clear that AI, encompassing both machine learning and decision intelligence, is maturing and adapting to address real-world challenges more effectively. This evolution underscores the necessity of developing comprehensive strategies that prioritize safety while fostering operational resilience.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$10000.00/year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PHM Technology
Founded
2006
Country
Australia
Website
www.phmtechnology.com
Vendor Details
Company Name
Quantellia
Country
United States
Website
quantellia.com
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control