NASSCOM GIC Conclave 2016

Hyderabad21st April, 2016

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Some job facts to look at (and be worried about)

Soaring long term unemployment

Lengthening jobless recovery

Stagnant Wages

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Artificial Intelligence at work (and delivering too)

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Scenario 1# The man-machine theory of collaboration in KPO

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Man Machine Freestyle Chess

Large frame pattern recognition

Idea

tion

& C

ompl

ex

form

of

com

mun

icat

ion

Process, Review and Discovery

Cog

nitiv

e &

R

epet

itive

task

s

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Scenario#2 Machine will triumph inevitably (as the Singularity advents)

Machine

Learning

Automation

Jobs &

Social

Impact

Robotic Traders doing 70% transactions in US stock markets

• Creates and withdraws decoy bids• Can mine financial news services for

profitable trades

Wall Street jobs down from 150,000 (2010) to 100,000 (201)• Rate of decay is increasing

Oxford research shows 50% are susceptible to complete automation

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Future of machine learning

Repetition Review Cost Arbitrage Speed

KPO Services

Repetitive and Cognitive

AnalyticsDesign,

Animation and Maintenance

PublishingAccounting, Legal and Engineering

Finance, Market and Business

Research

Domain Knowledge

Financial Accounting, Legal Processing and Engineering

Core Statistics and Data

Business Analytics Process and Results Execution

Design

Design, Animation and Publishing

Foundation & Advanced

Skills

Research & Writing

Skilled in sectoral research and business writing

Exploration, Imagination and Interpretation

Cognitive tasks Automation Continuous

ImprovementResource Alignment

Algorithm based, machine controlled realm with human exception supervision

Algorithm based machine generated human controlled action

New KPO realm

Machine Intensive Human Intensive

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The future of humans in KPO

Catch that dumb moment of big data machine learning!

Different language, different culture and bringing in context to all of that!

Mix qualitative and quantitative skills and add judgment

Finally, machines do not consume

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