Supercharging the public sector for Governance -Sandeep... · computer radiographs (CRs) and digital radiographs (DRs) >70% of the data used to develop the models is from South East

© 2019 copyright Fractal Analytics Inc. | ai.lcy

9th Aug 2019

Supercharging the public sector Why AI won’t be enough?


AI is here

© 2019 copyright Fractal Analytics Inc. | ai.lcy 3

5% vs 3% Image recognition

27% vs 7% Breast cancer diagnosis

47.7% vs 6.6% Lip reading

7% vs 3.5% Speech recognition

Human performance | AI performance (Error rates)

4 : 1 AlphaGo Zero >> AlphaGo

28 wins, 72 draws

AlphaZero beats Stockfish


In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English.

SYSTEM PROMPT (HUMAN-WRITTEN)

MODEL COMPLETION (MACHINE-WRITTEN, 10 TRIES)

The scientist named the population, after their distinctive

horn, Ovid’s Unicorn. These four-horned, silver-white unicorns

were previously unknown to science.

Now, after almost two centuries, the mystery of what sparked

this odd phenomenon is finally solved.

Dr. Jorge Pérez, an evolutionary biologist from the University

of La Paz, and several companions, were exploring the Andes

Mountains when they found a small valley, with no other

animals or humans. Pérez noticed that the valley had what

appeared to be a natural fountain, surrounded by two peaks of

rock and silver snow.



Tay: The AI with zero chill


Siri


Facebook AI fails to detect terrorist video


AI won’t be enough to solve problems at scale


Recipe for scaled problem solving

Engineering Design

Artificial Intelligence

Problem Solving

• Frame “prediction problems” • More sophisticated algorithms

• “Sensorize” everything • Build data pipelines to

automate decision making

• Think user first • Design for the non-conscious



Engineering Design


Problem Solving






100,000,000+ Chest X-rays annually

in the US

* https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609674/

20% - 23%*

Radiology error rates

19%*

Lung nodules missed


Automatic report based on the diagnosis saves physician and patient time


14

All tags

Tags suggesting TB

CONSOLIDATION

PLEURAL EFFUSION OPACITY

CAVITY

CALCIFICATION

FIBROSIS

NODULE

LYMPHADENOPATHY

CARDIOMEGALY

INCREASED BRONCHOVASCULAR MARKINGS

EMPHYSEMA

TRACHEAL DEVIATION

• The artificial intelligence algorithm for chest X-rays

detects a number of abnormalities

• The tuberculosis screening algorithm is a

combination of 8 of these abnormalities

• Designed for use in a screening setup, where the

patients who screen positive will undergo

bacteriological confirmation/NAAT.

• Detects classical pulmonary TB, and also atypical

manifestations

• Same tool is useful for screening for other

pulmonary/ cardiac diseases.

FRACTURE PNEUMOTHORAX

OSTEOPENIA

CERVICAL RIB

INTERSTITIAL THICKENING

Transforming the TB screening process


15

2.4 Million X-rays

14 X-ray machine models from 9 manufacturers (GE Medical

Systems, Canon Inc., Philips Medical Systems, Siemens, Carestream

Health, Fujifilm Corp, Kodak, Agfa and Kretztechnik). Includes both

computer radiographs (CRs) and digital radiographs (DRs)

>70% of the data used to develop the models is from South

East Asian patients.

Large training database

Includes patients with HIV, as well as other pulmonary and

extra-pulmonary co-morbidities Covers >20 centers across Asia, primary, secondary and tertiary

healthcare settings.

Vendor-neutral

Represents real world

Built in India, For the World

Covers atypical manifestations of TB

Includes TB cases from around the world

Tuberculosis cases and normal controls from India, China,

other Asian countries and the USA.

Robust Deep Learning based algorithms


16 Deployment in Aspirational districts

• Deployments in district hospitals in Baran, Sonbhadra, Baraish

and scaling up to 25 of NITI AAYOG’s aspirational districts

• At Baran district hospital, qXR reduced screening time from 3

days to 15 minutes

• qXR has already been running for 6 months and have referred

17% screened cases for further confirmation

• After piloting at 25 NITI AAYOG districts, qXR will be scaled up to

all the 110 aspirational districs of NITI AAYOG


Predictive maintenance

for trains






Engineering Design

Problem Solving




Increased customer value of

$1b per annum


Results

25% Growth in digital conversion

26% Improved sentiment 11% Engagement in campaign response rate

35% Improvement in product upgrades

12% Improvement in cost to income ratio


Anomaly detection @ scale

~ 1 billion data points

<1 hour 700+

Auto-generated insights




Engineering Design

Problem Solving







The following did not improve outcomes 1. Building awareness to the dangers of crossing

tracks 2. Imposing fines on trespassers

8 people die daily in Mumbai crossing train tracks


Behavioral nudges were more effective

75% reduction in accidental deaths on Mumbai suburban railway tracks


Financial inclusion Engaging consumers at bottom of pyramid with formal banking sector

PMJDY had unprecedented success with more than 213.1 million accounts and 176.3 million debit cards activated

Over 50% accounts remained dormant, average balance in active accounts was Rs. 2,523 (33.7 USD)

Use behavioral sciences lens to explain consumers low engagement

Zero balance accounts & promises of insurance claims were key levers of success

Bridging past and future for enhanced

engagement

Addressing psychological gap

Overhauling financial literacy initiatives

Re-design credit products

Intent – Action Gap

Physical v/s Psychological Distance

Saving – Budgeting Dichotomy

Scarcity & Cognitive Tunneling


Addressing public defecation Super-safe stalls at Sanjay Gandhi camp to encourage use by kids


Public Toilets: Behavioral solution for a structural problem


In Summary : For effective public impact programs

Engineering Design


Problem Solving






Some additional use cases for the social sector


AI in Agriculture

o Precision agriculture via IoT+AI

o Grain quality control via image analytics

o Reduces resource consumption

o Real-time Data Analytics

o Alert and notification system

o Forecast and price prediction

o Damage control

o Predictive Analytics

o Predictive maintenance


AI in Education

o Tutoring system can be made scalable

and intuitive using recommender

system + chatbot design

o Guided learning programs can be made

more efficient by augmenting cognitive

search (voice, image, text)

o Multi-lingual NLP + Machine translation

can help to scale education at the

grass-root level


AI in Crime Prediction

Analyze past crime data

Predict future crimes

Resources at the right place

and at the right time

Reported 31% reduction in crime using optimized patrolling


Image analytics: e.g. Satellite data – Airplane detection


Object detection : Camouflaged soldier detection


AI in Threat Detection


Using AI led mobile dashboards

Ministry of Health

and Family

Welfare

Sample Screen shots:

Screen 1

38

Ministry of Health

and Family

Welfare


Screen 2

39

Ministry of Health

and Family

Welfare


Screen 3

40

Ministry of Health

and Family

Welfare


Screen 4

41

Ministry of Health

and Family

Welfare


Screen 5

42


About Us


About Fractal: Powering every human decision in the enterprise

Founded in 2000 | 60+ Fortune 500 clients | 1300 Consultants | 100+ Countries | 15 Global offices Founded in 2000 | 60+ Fortune 500 clients | 1300 Consultants | 100+ Countries | 15 Global offices

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fortune 500 companies globally and helps them

power every Human decision in the enterprise by

bringing analytics & AI to the Decision.

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Documents

Supercharging the public sector for Governance -Sandeep... · computer radiographs (CRs) and digital radiographs (DRs) >70% of the data used to develop the models is from South East