SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez nos Conditions d’utilisation et notre Politique de confidentialité.
SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez notre Politique de confidentialité et nos Conditions d’utilisation pour en savoir plus.
About this Bombay Management Association Webinar :
“Every company now is an AI company. The industrial companies are changing, the supply chain…every single sector, it’s not only tech.” said Steven Pagliuca, CEO of Bain Capital at the 2019 World Economic Forum. Prof Dr Sheth will provide us with an anecdotal review through a broad variety of applications of AI. He is hopeful that it will help managers start thinking of new business opportunities and new revenue/business models in the context of rapid penetration of AI technologies everywhere. through this webinar, he will put light on the questions like Is AI just hype or something already happening? If it has not happened in your industry, is it impending?
Every Company is an AI Company: Now, Near Future, or Distant Future?”
Every Company is an AI Company:
Now, Near Future, or Distant Future?
Bombay Management Association Webinar: May 13 @ 5:00 pm - 6:00 pm IST
Prof. Amit Sheth
Founding Director, Artificial Intelligence Institute #AIISC
University of South Carolina, Columbia, SC, USA
(Big) Data - a key driver for AI
Source: Raconteur, taken from http://rcnt.eu/un8bg
Information is cheap.
Understanding is expensive.
Professor of UX Design,
Kent State University
AI is about converting data into
knowledge, insights and actions.
◆ Every company now is an AI company. The
industrial companies are changing, the supply
chain...every single sector, it’s not only tech.
Steven Pagliuca (CEO of Bain Capital) @ WEF2019
National Research Investment in AI 7
Increases in federal funding investments
(DARPA $2B, NSF, etc)
◆ While US is ahead in AI research,
China is significantly ahead in AI
development and monetization
Kai-Fu Lee, CEO of Sinovation Ventures, Author of “AI Superpowers” Former
President of Google-China
◆ India will need to use technology to leapfrog, and there I
think Artificial Intelligence will take the center stage.
Amitabh Kant, CEO, NITI Aayog
India is late to the game
(e.g., in setting a national policy, creating and education and research ecosystem), but ….
But in skills training, adoption and application,
India can do reasonably well.
ReWire for Growth | Accenture
AI has the potential to add US$957 billion, or
15 percent of India’s current gross value in
AI is expected to raise India's annual growth
rate by 1.3 percentage points—in a scenario
of intelligent machines and humans working
together to solve the country's most difficult
problems in 2035.
Areas according to Mr. Kant: mobility: EV, LI batteries; mobile tech NW.
But I feel wherever there is digitization: dHealth, fintech, education, auto mfg, pharma (mfg and
delivery), agr (food proc), telemedicine…
Game Changing scenario - example of unusual shift
Post pandemic, 80% of
healthcare is telehealth/ dHealth.
- Eric Schmidt, former Google CEO.
Practically all mental health
services for now are online.
Medicare and insurance
companies have suddenly
expanded reimbursements that
were not allowed in pre-
Opportunity to leapfrog, similar
to going mobile when India
could not provision landlines to
match the needs.
Just as teleradiology has
flourished in India, India can
capture significant market in
all areas of healthcare that are
not subject to
Revolutionary role of AI - but not in isolation
When we talk about AI, it is not just computing or algorithms, or
deep learning (it is of course important)…. it is the ability to
draw insights from broad variety of data and other digital tools:
- Internet of Things/Sensors
- Behavioral Science/psychology - understanding of humans
- Digital Payment
Management needs to appreciate the need to put together
LEAD and ADAPT 17
Chatbots & integration with Robots
(with special emphasis on
Augmented Personalized Health,
Medical Explainability (M,N)
Surveillance Capitalism (Business & Law)
Disinformation, Radicalization (I&C)
Wellness, Nutrition, Policy (Health)
AI/intelligent Grading (Education)
Illustrative examples for today’s talk
◆ Public Health
◆ Personalized Health
◆ Social Good
◆ Social Work
◆ Financial ….
○ Modelling of different types of
cancer cells to work out what
conditions allowed the disease
○ Use the information to try and
create new treatments
○ AI Matches drugs to
larger databases of
patients quicker than
● Using data from clinical trials to
generate sections of the CSR report
● Using AI to automate pharma reports
● Frees up medical writers’ time
● Allowing them focus on more high value
analysis and adding technical insight to
reports.Automate report writing
Source: https://pixabay.com/de/illustrations/medizin-pharma-pille-flasche-2801025/, https://www.resources.yseop.com/CSR-use-case
AI in Pharmaceuticals
AI in Pharmaceuticals
REACTIONS Drug Use/Abuse:
▰ In a Web forum dataset, it was observed that users reported taking the anti-diarrhea treatment drug
Loperamide (sold over the counter in Imodium) to self-medicate from withdrawal symptoms. The opioid
addictions treatment drugs Buprenorphine and Methadone are commonly prescribed for treatment of
withdrawal symptoms. Until now, it was unknown that Loperamide, can be (and is being) used for the
same purpose. Which is more, it was observed that users reported the possibility of mild psychoactive
(opiated) effects from megadosing - which is the practice of taking severely excessive amounts of a
▰ Three toxicology studies followed citing our work.
▰ FDA Warning in 2016.
▰ More at: http://wiki.aiisc.ai/index.php/PREDOSE
Source: R. Daniulaityte, R. Carlson, R. Falck, D. Cameron, S. Perera, L. Chen, A. P. Sheth. "I Just Wanted to Tell You That Loperamide WILL
WORK": A Web-Based Study of Extra-Medical Use of Loperamide. Journal of Drug and Alcohol Dependence. 130(1-3): 241-244, 2013.
Psychdemic: Measuring Spatio-
Temporal Psychological Impact of
Novel Coronavirus through Social
Insights from semantic analysis of Social Media Big Data
Public Health - COVID-19 Big Data (USA)
How does real-world events and policy decisions (school closing,
nonessential business closing, number of cases, availability of
clinical services), varying by time, geography (e.g., state), and
demography (GenZ, Millennials, ..) impact public and social
health, such as
◆ Mental health including depression
◆ Addiction (alcohol, opioid, marijuana, etc)
◆ Domestic Violence
COVID-related Big data: >800 Million tweets (~45M with location), ~700K
"A feeling of hopelessness. Seems I am in a dark age. #coronavirus #COVID19"
Results: Relative State Rankings Reveal Patterns
e.g., IN, NH, OH,
OR, WA, WY
SQI Ranking April 4 - 10
SQI Ranking March 14 - 20 SQI Ranking March 21 - 27
SQI Ranking March 23-April 3
Results: Cluster --A Non-Linear SQI Ranking
WI, RI, NV,
NJ, CT, LA,
SQI worse SQI better SQI better
March 14-20 March 21-27 March 28-April 3
Results: Influence of External Events
CT, LA, NJ,
NV, OK, RI,
School Closures: CT, LA, NJ, NV, RI,
Business Closures: CT, LA, NJ, RI,
Social Distancing Reg: LA, NJ, RI,
Business Relief: WI
CT 2.5K %, LA 2.5K %, NJ 1.2K %,
NV 1.2K %, OK 1.2K %, RI 2.5K %,
WI 1.2K %.
Stay at home: CT, LA, NJ, OK, RI, WI,
Extension School: CT, WV
Major Disaster: NJ
Business Relief: NJ
CT 180%, LA 0 %, NJ 64 %,
NV 0 %, OK 99 %, RI -23%, WI 99 %.
Major Disaster: CT, WV
Strict Social Dist: CT, RI
Extensions deadlines: CT
Medical shortage: NJ
Extension Stay home: OK
Extension School: RI
Extension Business Closure: RI
Business Relief: NJ, RI
Individual Relief: RI
CT 0%, LA 5 %, NJ 3 %,
NV 11 %, OK 7 %, RI 0%, WI -5 %.
Extension School: CT
Extension Stay home: LA
Strict Social Dist: NJ
Business Relief: WI
FL, GA, MI,
NE, TN, VA,
School Closures: FL, GA, MI, TN, VA,
Business Closures: WV, MI
Social Distancing Reg: FL, MI, NE,
TN, VA, WV,
Business Relief: FL, GA, MI, NE, TN,
Individual Relief: TN, VA
FL 600%, GA 650%, MI 180%,
NE 70%, TN 180%, VA 180%,
Stay at home: MI, WV
Shelter in Place: GA
Business Closure: GA, TN
Extension School: GA, WV
Major Disaster: FL
Business Relief: TN
Individual Relief: TN
FL 3.1K%, GA 3K%, MI 1.8K%,
NE 200%, TN 700%, VA 1.6K%,
Stay at home: FL, VA
Shelter in Place: TN
Major Disaster: GA, MI, TN, VA, WV
Strict Social Dist: GA
Extension School: GA, MI
FL -25%, GA 190%, MI 27%,
NE 8%, TN 26%, VA 33%,
Extension School: GA
Extension Stay home: MI
SQI worseSQI worse
SQI better SQI better
SQI better SQI better
March 14-20 March 21-27 March 28-April 3
Patient-generated Health Data (PGHD)
is becoming the most
important data in healthcare.
“Real world evidence can help answer questions
that are relevant to broader patient populations or
treatment settings where information may not be
captured through traditional clinical trials”
Personalized Digital Health
kHealth Asthma: A multisensory approach for personalised asthma care in children
level Signals GREEN -- Well Controlled
YELLOW – Not well controlled
Red -- poor controlled
Asthma Control Level Prediction
NOURICH: Nutrition Management Chatbot
◆ Many diseases can be controlled by proper diet management - diabetes,
obesity, hypertension and so on.
◆ Monitoring individual's diet and cumulative calorie intake and
recommending meals can help them in making informed decisions about
A personalized nutrition management chatbot incorporated with AI techniques
can aid and assist the users in this process
If the video does not play, check out NOURICH video at:
● Image Recognition: Semi-supervised learning and meta learning to utilize unlabelled data.
● Volume estimation: Image segmentation to identify food items and estimate volume.
● Nutritional Information: Using large nutrition knowledge base to estimate nutrition.
● Food recommendation: Personalized food recommendation using user-specific knowledge
graph (if recommended by clinician) that stores user’s health condition, food preferences
and so on.
● Type-1 Diabetes: Patients need to know daily amount of carbohydrate intake.
● Hypertension: Patients need to avoid high sodium foods and follow healthy food habits.
AI Techniques and Applications
DisasterRecord substantially reduces the burden of analysis,
interpretation, and decision making during major disasters. It analyzes
geographical data and integrates satellite imagery for better decision
● Humanitarian organization: analyze the situation at a community level
for deploying and mobilizing necessary help.
● First response coordinator: monitor a specific type of emergency
● Affected individuals: need to know about the nearest available help.
● Persons wishing to provide support: identify current needs in the
geographic proximity for the type of help they can provide.
Also online at: http://wiki.aiisc.ai/index.php/DisasterRecord
Personalized Learning Platform for Everyone through
world’s best Artificial Intelligence Platform in Education
Improve outcome through
Behaviour nudges, Machine Learning
AI in Education with Embibe (India):
Multi-dimensional graph of concepts that
captures the flow of learning through life.
Educational Knowledge Base
Intelligent content authoring and curation
Educational data lake
Intelligent intervention layer
Machine learning and education
domain knowledge combined to
deliver robust learning outcomes
for students and efficiency in
operations for institutions
Massive usage data lake created
and leveraged to power
intelligent intervention & content
Content creation & curation platform
designed to serve content need while
ensuring diagnosis and remedy happens
at personalised level
AI PLATFORM FOR EDUCATION
4 Key Components
Impact on Education using AI
● User Intelligence
○ Learning outcome oriented learning
○ Personalized learning paths
● Content Intelligence
○ Practically infinite content availability
■ Automated content creation, curation and tagging
● Mentor Intelligence
○ Automated optimal lesson plans
○ Social Emotional Learning (SEL)
Indian needs to be globally competitive, esp. to capture unique market
opportunity due to transformational events.
It is unlikely that a company can be globally competitive without
significant application of AI.
Education and training from Indian university is not world-class. Just as
IT companies provided training to new recruits, robust training program
in AI will be needed in the short term, and even in medium term.
Management will need to be “AI-literate”, engaged and well informed to
define business opportunity, develop and quickly adapt business model,
recruit talent, and execute smartly.