ConTEST NYC 2017

1. PIB Application Improvement Plan - August 25, 2016
Use of AI/ML tools to streamline
Quality Engineering function
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Sumeet Mandloi
Engineering
Director

2. Artificial Intelligence - Industry Perspective
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Artificial Intelligence
Conversational
Services
Program Advisory &
Recommendations
Competitive
Intelligence
Agility
and operational
efficiency
Fraud, Risk &
Investigation
Customer
personalization &
Experience
Widespread adoption of cognitive AI
across a broad range of industries will
drive worldwide revenue from $8
billion in to more than $47 billion by
2020 – IDC
Cognitive computing will save US
companies USD 60 billion a year by
2020– IDC
Organizations across industries, succeed
with enterprise-grade cognitive AI by
simplifying complex tasks and amplifying
capabilities Infosys
Cognitive machine learning will begin to
replace manual data wrangling and data
governance dirty work – Forrester AI/CC adoption would significantly lower FI
spend on AML. KYC and Surveillance. - IBM
60 percent of retail banking profits are
expected to become vulnerable to disruption
by 2025 -- McKinsey

3. AI - How it’s helping industries
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4. Bringing AI to Quality Engineering
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Defect Detection Defect Prevention Defect Prediction
Our mantra - Less is more

5. Bringing AI to Quality Engineering
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6. AI/ML tools and accelerators - Clustering Tool
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7. AI/ML tools and accelerators - Defects Analytics Tool
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8. AI/ML tools and accelerators - Customer Sentiment Analysis
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9. Some big open questions
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10. PIB Application Improvement Plan - August 25, 2016
Appendix
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11. Stages of AI and Automation Adoption path
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