Innovate - The Next Lap in Education: Accelerating Your Journey Through Innovation

P U B L I C S E C T O R
S U M M I T
SINGAPORE

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
S U M M I T
The Next Lap in Education –
Accelerating your Journey Through
Innovation
Vincent Quah
Regional Lead, Education, Research,
Healthcare and Nonprofit Organizations
Worldwide Public Sector
AWS
Won-guk Jung
Chief Technology Officer,
Mathpresso

S U M M I T
Agenda
• Introduction to AWS Cloud computing for education
• Trends in this industry
• How are educational institutions/companies using AWS?
• AWS solution areas and use cases: Big data, analytics, AI/ML
• Customer’s voice: Mathpresso
• Introduction to AWS Education Programs

S U M M I T
Cloud Computing: New Normal in Education

S U M M I T
AWS Cloud computing for education
K12 Schools

S U M M I T

S U M M I T
Cloud trends in education technology
Machine learning and
artificial intelligence
Voice technologyUnified data and
personalisation
Virtual and augmented
reality

S U M M I T
Education building on AWS

S U M M I T
Business outcomes in education
Improve students’
experiences when
accessing learning
resources
Access to education
opportunities
Securely store large
amount of data

S U M M I T
What is Big Data?
• Big Data on AWS collects and processes colossal amount of data
quickly and cost effectively
• Big Data is the collection and analysis of large amounts of data to:
Answer
questions
Create
competitive
advantage

S U M M I T
Knewton uses big data on AWS
Knewton is an
adaptive learning
technology
provider with a
mission to bring
personalized
education to the
world.
“
”
AWS has provided a reliable infrastructure and helped us power
materials for education companies internationally. I look at the AWS
team as a valuable partner in Knewton’s growth.
- Ryan Prichard, CTO, Knewton
• Knewton-powered analytics identify knowledge gaps and predict performance to help
educators, parents, and administrators better support every student.
• Knewton launched an enterprise-ready platform.
• The adaptive learning platform analyzes massive amounts of anonymized data, as
students use Knewton-powered products for extended periods of time while studying at
home and in the classroom.
• AWS has allowed Knewton to cut its monthly bill almost in half, meet the demands of
students and partners, and expand into new markets to become the leading adaptive
learning platform.

S U M M I T
NYU uses Big Data on AWS
The high performance
computing facility of the
New York University (NYU)
Center for Health
Informatics and
Bioinformatics was
established in 2009 to
deliver forefront-computing
capabilities to researchers at
the NYU Langone Medical
Center.
“
”
Our facility captures massive amounts of data from Next-Generation
sequencers, microscopes, slide scanners, mass spectrometers and other research
instruments.
- Dr. Stratos Efstathiadis, Technical Director, NYU Center for
Health Informatics and Bioinformatics
• The facility must store, curate, support and enable the analysis of this data, and also
provide resources scientists can use to run simulations and generate models.
• Previously, these analysis and simulation jobs often need to run for days, or even weeks
and the bigger problem was the transfer of data. With AWS, the facility is able to move
files in parallel at speeds up to 50 megabytes per second.
• By using the cloud, NYU researchers can now access the resources they need, when they
need them. The cloud also helps researchers collaborate. Using Amazon S3, they easily
share their findings and datasets with researchers around the world.

S U M M I T
Broadest and deepest set of capabilities
AWS AI/ML Stack
FRAMEWORKS INTERFACES
AI Services
ML Services
ML Frameworks + Infrastructure
A M A Z O N
R E K O G N I T I O N
I M A G E
Amazon SageMaker
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
A M A Z O N
P O L L Y
A M A Z O N
T R A N S C R I B E
A M A Z O N
T R A N S L A T E
A M A Z O N
C O M P R E H E N D
A M A Z O N
L E X
A M A Z O N
F O R E C A S T
A M A Z O N
R E K O G N I T I O N
V I D E O
A M A Z O N
T E X T R A C T
A M A Z O N
P E R S O N A L I Z E
Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimisation Deployment Hosting
INFRASTRUCTURE
F P G A SA M A Z O N E C 2
P 3 & P 3 D N
A M A Z O N E C 2
G 4
A M A Z O N E C 2
C 5
A W S I N F E R E N T I AA W S I O T
G R E E N G R A S S
E L A S T I C
I N F E R E N C E

S U M M I T
The College Board utilizes Amazon Machine Learning
(Amazon ML)
The College Board is a
118 year old American
nonprofit organization
that represents over
6,000 universities.
“ ”
• The College Board originally created assessments that were intended to make access to
higher education more fair and equitable. The organization runs the SAT, a college
admissions exam, and recommends new test dates.
• The College Board uses Amazon SageMaker to generate and analyse millions of
calendars.
• Using Amazon SageMaker, an August data was created for the first time in nearly 100
years and it was proved so popular that there were not enough seats in the first year.
We built just a classic model and it began to impede our
innovations and features for students and educators. And so, we
decided that we wanted to modernise and embrace Microservices,
DevOps, and be agile.
- Jeff Olson, VP and Chief Data Officer, the College
Board

S U M M I T
ETS uses AI on AWS services
ETS is a non-profit
organization that works
with education
institutions, businesses,
and governments to
conduct research and
develop assessment
program that provide
meaningful information
they can count on to
evaluate people and
programs.
• ETS uses Amazon Polly, a solution that turns text into lifelike speech.
• With Amazon Polly, ETS can introduce new features that help
students.
• One area where ETS uses Amazon Polly is in GRE, the graduate
admission exams in US. The exam is timed, but the blind and low
vision test takers cannot see the timer.
• Using Amazon Polly, these students get an “auditory glance” at the
clock—a chime signals a notice and then a message is delivered to
them. This creates a more equitable test taking scenario for these
students.

S U M M I T
Customer’s voice: Mathpresso
Won-guk Jung
Mathpresso

S U M M I T
About Us
June 2015
Seoul, Korea
Equalize educational opportunities
through technology

S U M M I T
Our product

S U M M I T
Startup challenges & limitations
Challenges:
High competition
Rapid growth
Fast paced marketing
Limitations
Tight budget
Time constraints
Limited resources

S U M M I T
When we were novices…
AWS Elastic Beanstalk Amazon
RDS

S U M M I T
Focus on product, not infrastructure
Leverage benefits of managed services
AWS Elastic Beanstalk (web application)
Amazon RDS (relational database)
Amazon S3 (storage)
… and many more…
Developers can focus on the “product”
… and deliver value to customers
Time to Results
Access infrastructure
in minutes

S U M M I T
Growth matters

S U M M I T
Our story: Rebranding
Oct 2017: We redesigned our product as an “OCR-based search service”
Is it in DB?
No
Now, yes!
Search a question
Accumulate to DB
Display Search Results
Connect to our tutors
1:1 Q&A
DB

S U M M I T
Our growth on AWS
We’ve grown 41x in MAU in 1½ years and became the #1 service in Korea and Japan.
1/16/2016 7/16/2016 1/16/2017 7/16/2017 1/16/2018 7/16/2018 1/16/2019
Rebranding
as search service
Series A

S U M M I T
Building blocks were ready for us
Scalability is native on cloud
Elastic Beanstalk container
Elastic
Load
Balancing
Auto Scaling group
Amazon EC2
OCR Microservice
Elastic
Load Balancing
Auto Scaling group
Amazon EC2
Powered by
AWS Deep Learning AMI
Search Microservice
Amazon API Gateway AWS Lambda
Amazon
Aurora
Amazon
ElastiCache

S U M M I T
The challenge?
Ensuring the same speed and availability globally
Our goal: Deliver our service to the world

S U M M I T
Global AWS infrastructure
Region & Number of
Availability Zones
Announced Regions
Bahrain, Cape Town, Jakarta, and Milan

S U M M I T
Our story: Cost Optimisation
Leveraging the pay-as-you-go model and AWS Application Auto
Scaling

S U M M I T
Our future: A brand new study experience
Contents
Lectures, exercises,
notes, Youtube clips, etc.
Students
Study with most relevant materials.
AI enables “adaptive learning.”
[중2 수학개념] 일차함수의 뜻과 그…
youtube.com
14:20
Technology
Identifies learning status and
delivers contents to students.
Massive data and AI
enables this innovation.

S U M M I T
Our future
As a startup:
We are still growing. Things will get more
complex—we will need to constantly
innovate.
Using AWS has allowed us to
achieve our goals.

S U M M I T
What is analytics?
• Analytics is the discovery,
interpretation, and communication of
meaning patterns in data
• The process of applying those
patterns towards effective decision
making
What is a data lake?
• Centralized repository
• Store your data as-is
• Able to run different types of analytics

S U M M I T
Icahn School of Medicine builds analytics platform
on AWS
The Icahn School of
Medicine at Mount Sinai
in New York City is an
internationally
recognized leader in
medical and scientific
training, biomedical
research, and patient
care.
“AWS is a natural place to build software environments.
- Sandeep Sanga, Vice President of Products at Station X,
Icahn
School of Medicine at Mount Sinai
”
• Mount Sinai researchers analyse genomic data in real time using AWS.
• AWS is the foundation for Station X’s genomics platform, GenePool, which can
dynamically scale to analyze tens of thousands of genomes in minutes.
• By using AWS and GenePool, Drs. Martignetti and Dottino (researchers) can now rapidly
mine thousands of patient records from the Cancer Genome Atlas projects and identify
genetic aberrations in a number of novel candidate genes fitting their scientific
hypothesis. Also, building GenePool on AWS gave Station X the ability to store data sets
for their translational and clinical genomics customers.

S U M M I T
Walter and Eliza Hall Institute of Medical Research
uses AWS to accelerate the processing and analysis
of data
It is the oldest medical
research institute in
Australia, it undertakes
research across a range of
areas including breast,
ovarian, and blood cancers,
type 1 diabetes, rheumatoid
arthritis, coeliac disease, and
malaria.
• The Systems Biology and Personalised Medicine Division (SBPM) at the
Walter and Eliza Hall Institute enlisted the help of DiUS and AWS to
accelerate the processing and analysis of embarrassingly parallelizable
data and image sets.
• The team built a platform in the microscopy laboratory to enable image
scientists to perform initial exploratory analysis locally on their
workstations, then seamlessly synchronize the local data sets to AWS, and
perform detailed analysis in the cloud.
• This approach has reduced typical image processing times from seven
hours to less than one. With AWS, scientists can quickly analyze massive
data pipelines, store petabytes of data, and share their results with
collaborators around the world, focusing on science rather than servers.

S U M M I T
Overview of AWS Education Programs
Others
• For institutions, educators, and students, AWS
Educate is a program that provides self-service
access to cloud technology and learning
resources.
• AWS Educate gives students and educators
comprehensive resources for building skills in
cloud technology. For students aged 14 and
older, the program offers a self-paced, no cost
curriculum with materials designed to
accelerate cloud-related learning endeavors. It
also provides a job board for employment
opportunities.
• Benefits include AWS Promotional Credits for
complimentary AWS services, access to AWS
Technical Essentials online, AWS Badges, and
micro-credentials for students as they complete
pathways, discounts on training & certification,
free access to learning content contributed by
top educators and AWS and access to AWS
Educate job board with jobs from top tech
companies.
• For post-secondary educational institutions,
AWS Academy is a program that provides access
to cloud computing curricula that is AWS-
developed and maintained, and designed to be
delivered over a semester or a minimum of six
weeks.
• AWS Academy’s curricula is intended for
integration into computer science, engineering,
or other accredited course programs with cloud-
computing interest.
• Benefits include AWS developed and authorized
curricula, complimentary AWS-delivered
training for educators to become accredited
AWS Academy instructors, complimentary
access to all curricula content and labs, practice
exams for AWS Certified Solutions Architect
Associate certification at no cost, and 50%
discount on AWS Certified Solutions Architect
Associate exam.

S U M M I T
Thank you!
S U M M I T
Vincent Quah
Regional Lead, Education, Research, Healthcare
and Nonprofit Organizations
Worldwide Public Sector
AWS
Won-guk Jung
Mathpresso

Innovate - The Next Lap in Education: Accelerating Your Journey Through Innovation

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