Artificial Intelligence - Trends & Advancements
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Transcript of Artificial Intelligence - Trends & Advancements
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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%