A presentation about the Global Education Crisis and how AI can help us resolve this issue.

1. AI in Education
Evolve Machine Learners

2. What is Machine Learning?

3. Machine Learning Defined
GPU chipmaker NVIDIA defines machine
learning as "the practice of using algorithms
to parse data, learn from it, and then make a
determination or prediction about something
in the world."

5. Global Education Crisis
Without learning, education will fail to
deliver on its promise to eliminate
extreme poverty and create shared
opportunity and prosperity for all. Even
after several years in school, millions of
children cannot read, write or do basic
math. This learning crisis is widening
social gaps instead of narrowing them.
Young students who are already
disadvantaged by poverty, conflict,
gender or disability reach young
adulthood without even the most basic
life skills.

6. Global Education Crisis
Students all learn differently, and a
good teacher must attempt to deliver
lessons in a way that resonates with
every child in the classroom. Some
students may have behavioral or
psychological problems that inhibit or
complicate that process. Others may
have parents who are not involved
enough, in their education. Effective
teachers must be able to navigate
these many hurdles while satisfying
often-changing curriculum
requirements.

7. Global AI Landscape

8. Building blocks of AI Edtech Platform
The best teachers are excellent at 2
things:
● A nuanced understanding of student
● Extremely amazing appreciation with
the content and the context in which
content is delivered.
So to build an intelligent and personalized
system that can scale to every student,
Student Intelligence and Content
Intelligence is needed.

9. AI and Ed Tech
Based on those three types of models, the AI and Ed system through a piece of
software and an interface which could be screen based interface or it could these days
be slightly different, would interact with the learner and take them down to most
optimal path to improve their learning outcomes.
Model of School Curriculum
(For particular subject like Maths)
+
Model of Learners
(record how learners interact with software and use that recording to make predictions
about how that child is progressing)
+
Model of How to Teach

11. Intelligent Tutoring Systems
Through AI, tutoring and study programs are growing more advanced, capable of teaching
fundamentals to students struggling with basic concepts. Already, there are intelligent tutoring
systems such as Carnegie Learning that use data to provide feedback and work with students
directly.

12. Intelligent Tutoring Systems

13. Personalization
It can be overwhelmingly difficult for one teacher to figure out how to meet the needs
of every student in his/her classroom: remedial students, advanced students, ESL
students and the disabled all need to have the same access to learning. AI systems
easily adapt to each student’s individual learning needs and can target instruction
based on their strengths and weaknesses, meaningless work for teachers and a more
meaningful learning experience for students.

14. Personalization

15. Course Improvement
Teachers may not always be aware of gaps in their lectures and educational materials
that can leave students confused about certain concepts. Artificial intelligence offers a
way to solve that problem.
Coursera, a massive open online course provider, is already putting this into practice.
When a large number of students are found to submit the wrong answer to a
homework assignment, the system alerts the teacher and gives future students a
customized message that offers hints to the correct answer.

16. Trial and Error Learning made Easy
Trial and error is a critical part of learning, but for many students, the idea of failing,
or even not knowing the answer, is paralyzing. Some simply don’t like being put on the
spot in front of their peers or authority figures like a teacher. An intelligent computer
system, designed to help students to learn, is a much less daunting way to deal with
trial and error. Artificial intelligence could offer students a way to experiment and learn
in a relatively judgment-free environment, especially when AI tutors can offer
solutions for improvement.

17. Future of AI in Edtech

18. Future of AI in Edtech

21. 1st - We’re going to build our model to detect pneumonia
2nd - Apply the same concepts to other diseases
3rd - Build Web & Mobile Platform for doctors to use
(Applications in 3rd world are HUGE!)
Conditions we’ll try to build
our model to detect:
Atelectasis
Consolidation
Infiltration
Pneumothorax
Edema
Emphysema
Fibrosis
Effusion
Pneumonia
Pleural_thickening
Cardiomegaly
Nodule Mass
Hernia

22. Bank
3rd Party
Cybersecurity
System
Data Analyst

23. ● Jobs
● Freelance
● AI Startups
How can you build your career in AI &
Machine Learning?

24. Jobs
● Artificial Intelligence jobs posted on Linkedin.
5000+

25. Freelance
● AI & Machine Learning jobs posted only on upwork
today.
200+
● Average per hour rate of an AI freelance engineer:
$40-$100 on upwork

27. Freelance AI Engineers on Upwork and their per
hour rates

30. AI Startups
Just as 100 years ago electricity
transformed industry after industry, AI
will now do the same.
-Andrew NG

31. Winner Takes All
If businesses and
organizations don't adapt, they
may well become extinct.

32. There is an AI solution to every
business problem
- Finance
(Safer Trading, Fraud Prevention, Personalized Investment Plans)
- Marketing
(Automating Repetitive Tasks, Sales Through Images and Videos, Content
Generation)
- Customer Support
(Handling Multiple Customers at a Time, More Effective Phone Support)
- Medicine
(Mining Valuable Information From Untapped Data, Effective Treatment Plans,
More Efficient Primary Care)
- Real Estate
(Better And Faster Communication, Automating Property Valuation, Promoting
Rental Booking, Relevant Product Recommendations, Customer Engagement)
- And More...