Predix Data Fabric & Digital Twin Framework- Platform for Continuous Learning (Minds & Machines 2017)

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Thomas Benjamin

Predix Data Fabric + Digital Twin Framework = Platform for Continuous Learning

Technology

Content Slide
• Analytics & Continuous Learning Reference Architecture
• Under the hood – Predix Data Fabric
• Airline Disruption Management Use case
• Time Series Analysis for deeper insights
• Aircraft Predictive Maintenance Use case

Raw Data
Modeled Data
Connecting Silo’s of Airline Systems
Continuous Learning Platform - PREDIX
Ingestion
Batch
Micro Batch
Real-time
Airline
Operations
Crew
Operations
Maintenance
Systems
Flight
Operations
Passenger
Reservations
Revenue
Management
Airline
Integrated
Operating
System
Digital Twin Framework
Run-time
Engine
Orchestration
Engine
Analytics
Catalog
Learning Engine – Building Blocks
Discover Operational Blind Spots Private
Cloud
Security
Master Data
Mgmt.
Continuous
Learning

October 30, 5
Private
Cloud
Ingestion
Batch
Micro-Batch
Real-time
Event Hub
Predix Studio
Trueconnect
Raw Data Area
Cleansed &
Transformed
Modeled Area
Subject Area Mart
Data Science Sandbox
Under the hood – Continuous Learning Platform
Digital Twin Framework
Analytics Catalog
Workbench Orchestration Engine
Discovering
Structure
K-Means Cluster
Hierarchical Cluster
Spectral Cluster
Similarity Metrics
Analytics
CI/CD
Predicting &
Forecasting
Linear, Stepwise
Regr.
Random Forest
Support Vector Regr.
Neural Network, DL
Survival
Analysis/CDM
Binary Logistic Regr.
Support Vector
Machine
Neural Net
Decision
Trees/Randmon forest
Anomaly Detection &
Diagnostics
Manifold Learning
Gaussian fixture Model -
EM
Deep Learning models
Baysian Belief Networks
Security Continuous Learning Master Data Management

Airline Use Case’s for Continuous Learning

Aircraft delay prediction
Airline disruption management – Use Case
• External weather factors influence
the aircraft flow
• How to quantify ?
• Can we use historical information
and fuse multiple data sources ?

“Google” like search for time series
Time series analysis for deeper insights
• Search engine for industrial “time
series”
• Multi-variate time series
search…scalable
• Key enabler for risk
assessment/root cause
investigation

Aircraft corrosion prediction
Aircraft predictive maintenance – Use case
Network Routing
Global Environmental Data
(atmospheric sea salt concentration, for example)

Business Value - Efficiency & Effectiveness Improvement
Airline
Operations
Crew
Operations
Maintenance
Systems
Flight
Operations
Passenger
Reservations
Revenue
Management
Airline
Integrated
Operating
System
Continuous Learning Platform

Master data management (MDM) is defined as an application-independent process which describes, owns and manages core business data entities. The establishment of the MDM process is a Business Engineering (BE) tasks which requires organizational design. This paper reports on the results of a questionnaire survey among large enterprises aiming at delivering insight into what tasks and master data classes MDM organizations cover (“scope”) and how many people they employ (“size”). The nature of the study is descriptive, i.e. it allows for the identification of patterns and trends in organizing the MDM process.

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JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

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