This presentation is part of the webinar. Here is the link for the webinar recording https://www.anymeeting.com/geospatialworld/E955DA81854C39 Presentation Credits: NVIDIA & Geospatial Media

2. 1
Sundara Ramalingam N
Head – Deep Learning Practice
NVIDIA Graphics Pvt Ltd., India
snagalingam@nvidia.com
99455 67685
THE DEEP LEARNING AI
REVOLUTION

3. POLL

4. 2
PC INTERNET
WinTel, Yahoo!
1 billion PC users
AI & IOT
Deep Learning, GPU
100s of billions of devices
MOBILE-CLOUD
iPhone, Amazon AWS
2.5 billion mobile users
1995 2005 2015
A NEW ERA OF
COMPUTING
“It’s clear we’re moving from
a mobile first to an AI-first
world ”
Sundar Pichai, Google CEO

5. 3
GPU Computing
NVIDIA - THE AI COMPUTING COMPANY
Computing for the Most Demanding Users
Computing Human Imagination
Computing Human Intelligence

6. 4

7. 5
WHAT IS DEEP LEARNING?
Typical Network
Task objective
e.g. identify face
Training data
10-100M images
Network architecture
10 layers
1B parameters
Learning algorithm
~30 exaflops
~30 GPU days

8. 6
DEEP LEARNING EVERYWHERE
Image Classification, Object Detection,
Localization, Action Recognition
Speech Recognition, Speech Translation,
Natural Language Processing
Breast Cancer Cell Mitosis Detection,
Volumetric Brain Image Segmentation
Pedestrian Detection, Lane Detection,
Traffic Sign Recognition

9. POLL

10. 7
Touching human lives
POVERTY
PREDICTION
STANFORD
UNIVERSITY
ACCELERATE EPIDEMIC
FORECASTING
LANCASTER MEDICAL
SCHOOL
ECOLOGICAL
IMBALANCE
ECOLOGY AND EARTH
SCIENCE RESEARCH
LOCATION
INTELLIGENCE
MAXIMIZE THE VALUE OF
BI
GEOLOGICAL DISASTER
RECOGNITION
CHINESE ACADEMY OF
SCIENCES
MONITORING GLOBAL
DEFORESTATION
WORLD RESOURCES
INSTITUTE

11. 8
Sundara Ramalingam N
Head – Deep Learning Practice
NVIDIA Graphics Pvt Ltd., India
snagalingam@nvidia.com
99455 67685
THE DEEP LEARNING AI
REVOLUTION

12. SocioTechnical Aspects of AI
Arup Dasgupta
arup@geospatialmedia.net

13. TheCanvasofAI

14. Adoption of AI Technologies
§ Enterprises already using AI -38%
§ Will use by 2018 - 62%
§ Automating manual tasks - 26%
§ Using predictive analysis - 58%
§ Automated reporting and communications - 25%
§ Big Data users who also use AI - 95%

15. But there are doubters…
§ 20% have not adopted citing lack of:
§ Business case - 42%
§ Clarity regarding usage - 39%
§ Modern data management platform - 29%
§ Skills - 33%, Budget - 23%
§ Knowledge on resources needed - 19%
§ Right processes or governance - 13%
§ Data - 8%

16. …and Disbelievers
§ AI not proven - 14%
§ Lot of hype - 11%
§ What does AI mean - 3%

17. ValueProposition

18. Key Issues
§ Loss of jobs and re-skilling of new-collar workers
§ Transparency in AI based decisions
§ Models of combined physical and social systems
§ Predictive modelling
§ Possible misuse of centrally collected data for behavioural
control
§ Acceptability of AI by the public
§ Regulations

19. Job Losses to New Collar Workers
§ In the US AI will replace 16% of jobs by 2025
§ There will be 9% new jobs
§ 93% of trained people feel they are unprepared to tackle
these new technologies
§ New jobs will include robot monitors, data scientists,
automaton specialists and content curators

20. Perceptions of AI by Groups
§ Groups
§ IMS - Intellectual Machines
and Systems
§ SSH - Social Sciences and
Humanities researchers
§ SF - Science Fiction writers
§ PM - Policy Makers
§ Scoring
§ 4 - rely on IMS, 1 - only
Humans can do

21. POLL