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Rise of Applied AIManish Singhal, Partner, pi Ventures

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$75 bn market globally. Current

solutions are expensive, unreliable for Indian conditions.

Not much data is digital either

cellphone camera attached to

microscopes, images are captured

and sent to cloud

By leveraging deep learning on the

images, faster and cheaper (5x) and more accurate diagnostics

can be made at scale

Founders come from data science lab of Amex, having built

enterprise scale solutions earlier on

deep learning

Applying Deep Learning to Diagnostics

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India is at a Great Inflexion Point

More bank accounts opened in

India last year than the total number of bank accounts are in US

More than 1 bn citizens came onto

the digital grid through universal ID project in

last 5 years

In just last 12 months, more than

100mn new mobile wallets were created

from Zero base.

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India is becoming a Mobile Nation

By 2020, avg age in India is going to

be 29, tech savy and early adopter. Mobile

data will cross 1 Exabyte by 2019

435mn Smartphones by

2019, will disrupt both B2C and B2B

customer workflows

$500bn discretionary

spending signalling large market. India

would be 3rd largest economy by 2030.

Built proprietary deep learning platform

and latency optimisations schemes,

beats google for accuracy for Indic

languages

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Voice Interface is a big opportunity for mobile and IoT as

Indic languages will be the 2nd language by

2050 after Chinese

Ex. Microsoft (Bing

Research), Ph. D. Signal Processing with 7

patents in signal processing

(Qualcomm) & Samsung

Best speech solution for Hindi

and even English in Indian accent with >

90% accuracy, highly scalable API and

SDK.

Voice is the most Natural Interface

Very simple saving instrument

like Fixed Deposit and saving’s account, are

used by most of Indians. Only 9% invest in

Mutual funds

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Working Class millennials in India

(15-20mn) have close to $100bn in saving potential. Overall potential of $1.1 tn

Founders are ex-Flipkart with deep

experience in mobile, technology and domain

Mining Personal Data For Right Savings InstrumentsAI

Maturity Level 2

Leveraging Mobile to mine small

data (context of spend) and using machine

learning to suggest right saving instruments

to grow money

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Extreme Personalisation

Predictive Business

AI will enable new experiences

Big Data

Small Data

Dark Data

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India could see rapid Adoption of AI

Retail Fin-tech

Cyber security Healthcare

Logistics

Leading AI practitioners (Microsoft, Google, Amazon) have done a good job in training good

talent at lower cost points

Indian businesses operate on lower cost structures, making AI impact more meaningful for

them, helping in faster adoption

Large adoption of mobile workflows, create more data,

and fewer regulations, allowing startups to exploit data growth

Data

Adoption

Talent

Confidential: Please do not share without explicit permission9

Core AI Building Blocks

Heavy R&D Spend to solve core problems, ex. NLP,

Image recognition, Deep Learning,

Speech recognition, Emotions

Rise of Applied AIStartups that leverage core AI frameworks to create business value

New Category Leaders

Mature Applied AI, with new leaders and

consolidation by incumbents/laggards

*R&D by large Companies pi Ventures

Business Value

1990 2016 2020

We are here

Inflection Point

*Source : Bootstrap Labs

Now is the Time to Invest in Applied AI

Enterprise Value

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In 1600’s India’s share of global GDP was 25%

Thank You!

Manish Singhalmanish@piventures.in

@manish_saarthiwww.piventures.in