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Agenda
02 AI – Essential Tool to combat Climate Change
01 Industries generating carbon footprint
03 AI in Industry – SCM
04 Framework for AI combating the Climate Change
05 AI and Carbon emission – The double-edged relationship
06 Vision of Integrated Cities
07 Be a Considerate Consumer
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10%
13%
23%
25%
28%
Greenhouse gas emissions from transportation primarily come from burning fossil fuel for
our cars, trucks, ships, trains, and planes. Over 94% of the fuel used for transportation is
petroleum based, which includes primarily gasoline and diesel.2
Transportation
25%
In 2021, 60% of our electricity comes from burning fossil fuels, mostly coal and natural
gas..
Electricity Production
23%
Greenhouse gas emissions from industry primarily come from burning fossil fuels for
energy, as well as greenhouse gas emissions from certain chemical reactions necessary to
produce goods from raw materials.
Industry
13%
Greenhouse gas emissions from the commercial and residential sector include fossil fuels burned
for heat and the use of gases for refrigeration and cooling in buildings, and non-building specific
emissions such as the handling of waste.
Commercial & Residential
28%
10%
Greenhouse gas emissions from agriculture come from livestock such as cows, agricultural soils,
and rice production.
Agriculture
Source: https://www.epa.gov/ghgemissions/sources-greenhouse-gas-
emissions
Carbon footprint on Industry segment
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AI – Essential tool to combat climate change
Design optimized process
Pattern and Data Analysis
Support Collaborative Eco-
System
Strengthen Planning and
Decision Making
Gather complex data set
Encourage Climate Positive
Behavior
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Mitigation Adaptation and Resilience
Fundamentals
Measurements Reduction Removal Hazard Forecasting Vulnerability and
Exposure
management
Macro-level
measurement
Reducing GHG
emissions
intensity
Environmental
removal
Projecting localized
long-term trends
Managing crises Climate research
and modelling
Strengthening
infrastructure
Climate finance
Micro-level
measurement
Improving
energy
efficiency
Technological
removal
Building early
warning systems
Protecting
populations
Education,
nudging, and
behavioral change
Preserving
biodiversity
Framework for AI combating the Climate Change
Source: Study report by BCG Consulting
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Applying AI for Net Zero Emissions
Data Mining and Remote Sensing
Accelerated Experimentation
Fast Approx Simulation
Forecasting
System Optimization & Control
Predictive maintenance
Policy Design, monitoring and re-enforcement
R&D low-carbon technologies
Planning and design of relevant systems
System Operation and Efficiency
Accelerating emission intensive activities
Information
Modelling
Optimization
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AI & Carbon Emission – The Double-Edged Relationship
Transparency is the key - Consider how environmental
impact is measured
Renewable energy use
More efficient hardware
The right algorithm and model
New Cooling methods
Government support on sustainable AI
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Vision for Integrated Cities – powered by Technology
We use AI to lighten the load of notoriously
cumbersome data processing
Governments and investors should prioritize the
funding carbon avoidance technologies
Efficient, scalable and quickly deployable… energy
storage technologies are essential
Hardware development and policy innovations
required to achieve net zero
The future isn't about using less; it's about using
more, but in a smarter way
