nbtc 2004 presentation final
DESCRIPTION
A presentation on the evolution of computing and its impact on careers.TRANSCRIPT
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““The Next Big Thing”The Next Big Thing”
Joe Anandarajah MBA, B.EngJoe Anandarajah MBA, B.EngPresident - Phorix Solutions Group Inc.President - Phorix Solutions Group Inc.
Technology Manager, IT – Innovations FoundationTechnology Manager, IT – Innovations Foundation
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For I dipped into the future, as far as human eye could see, saw a vision of the world, and all the wonder that would be.
– Alfred Lord Tennyson (1809 - 1892)
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Introduction Trends & Opportunities
Intelligence, Mobility and Interaction Life and Physical Sciences
Portfolio PSG & IF Portfolio Demos and success stories
Packaging the Technologies Impact on your life
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Phorix Solutions Group Inc. Value Added Resale and Systems Integration Expertise: Analytics, Business Process Verticals: Financial Services, Call Center and Other
Innovations Foundation Venture Creation and Licensing University of Toronto and External Technologies
Joe Anandarajah, MBA, B.Eng 9 years in IT Sales, Marketing, Systems Integration, Finance, R&D Passion for analytics and aptitude business & mathematics
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Processing Power Trends Semiconductor 100x every 10 years Optical Transmission 1000x every 10 years
Market Adoption Increased from 0.5% to 3.5% of SG&A over the 90s Saturated Markets – Financial, HR, SCM, Desktop Applications Virgin Territory – Risk Management, Process Monitoring,
Development and Design
Application Trends Improve Flexibility and Lower Admin Cost – Soft Computing, Self
Healing, Configurable, FederationIT to Grow to 10% of SG&A
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$ $$ $$$
System IT Department End User
Hardware, Software
Customization, Maintenance,
ReportingSales, Finance,
Engineering
Configurable, Federation, Self Healing
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Neural, Spike and Recurrent Networks – How We LearnFuzzy Logic – How We Reason
Bayesian, Markov, SVMs – Representation
More Processing Power -> More Intelligence
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Processing & Delivery:
Graphs, Charts, 3D, Mobile, Learning
Interface: Voice Recognition,
Touch Screen, Virtual Reality
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Life Sciences eHealth – Patient Care, Clinical Trials Medical Devices – Test & Measurement, Imaging,
Tools Drug Discovery and Design – MDIT
Physical Sciences Monitoring, Process Control and Diagnostics Computer Aided Design / Manufacturing Computation Materials Science – Bulk Properties,
Heat Transfer
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Pattern Recognition Object Recognition and Tracking
Forecasting Condition Based Judgment Based
Diagnostics Expert Systems
DSL Enhancement Increase reach, bandwidth and diagnostic capability
eCash Works just like cash
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Object Recognition & Tracking – Demo- Speed
- Lighting Tolerance- Orientation Tolerance
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Food Processing Company: Executive Summary__________________________________________ ANALYSIS OF SHEAR PUMP BEARINGS
VIBRATION DATA 21 VIBRATION COVARIATES PROVIDED BY
ACCELEROMETER (CSI and Mastertrend)
3 (of 21) COVARIATES SIGNIFICANT ANNUAL REPLACEMENT COST SAVINGS IF
APPLIED TO PREVIOUS HISTORY = 55% INCREASE IN EQUIPMENT LIFETIME = 10.2 % SIGNIFICANT REDUCTION IN DATA COLLECTION
COSTS
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Mass Transit Railway Corporation: Executive Summary
– Had excessive traction motor ball bearing failures
– CBM to monitor bearing grease colour
– Changed inspections from every 3.5 years to annual
RESULTS
- Reduced failures per year from 9 to 1- Reduced total costs by 55%
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UK Mail Sorting
- Pilot Project Expert System - knowledge transfer to user - six week implementation with UK Partners - 400 Faults
GLIMP
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DecydeWare judgement-based decision technology
Fills current gap between data and decision where the decision-maker must use professional judgement.
Models cognitive processes people use when they reason intuitively
Uses advanced soft-computing methods based on a patented algorithm
Helps the user make faster, more consistent and mathematically rigorous judgement calls when time, evidence, and experience are limited.
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Step 1. Choose Risk Tolerance Level
Thresholds
min .80
min .50
max .30 c. Possibility of
b. Proof of
a. Strength of Evidence
Parameters
low risk
conservative
Risk
Degree
0
1
lo flo m fhi hi
fairly high risk
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MethodConfidenceOpinionSource
CONCLUSION
Step 2. Select a Factor
Step 4 Enter the Evidence
min .80
min .50
max .30
Risk
Degree
0
1
lo flo m fhi hi
Parameters
Step 3. Choose Logic
IF Factor is THEN Risk is fairly satisfactory fairly low
Actual
Risk
Degree
0
1
lo flo m fhi hifairly satisfactory
fairly satisfactory
unsatisfactory
Source 1
Source 2
Source 3
sure
unsure
fairly sure
phone
in person
intuition Risk is unacceptable. Collect more evidence and recalculate.
Secondary Factor
Secondary Factor
Secondary Factor
Secondary Factor
Secondary Factor
Secondary Factor
Secondary Factor
Secondary Factor
Primary Factor
Primary Factor
Primary Factor
Primary Factor
Overall
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Analytics Patterns, Forecast, Expert Systems
Interface Touch Screens, Graphs, 3D
Total Productivity = Machine + Human ProductivityIntuition + Automation + Real-time Human Intervention / Interaction
Problem Business Profitability > Solution DSS
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Monitor – Object Recognition Quality
Forecasting – Condition Based Schedule maintenance based on quality trends
Expert System Low cost and most likely cause quickly
Forecasting – Judgment BasedPlanning
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Have a VisionThink out of the BoxDomain Expertise
Cross functional
Quantitative Skills Intelligent Algorithms
Qualitative Skills Human Factors
New FrontiersRisk Management, Process Control, Health Care