Climate Adaptation Unlocking Value Chains with the Power of Technology 2025
Page 31 of 43 · WEF_Climate_Adaptation_Unlocking_Value_Chains_with_the_Power_of_Technology_2025.pdf
Collaboration platforms provide data, tech and insights to accelerate adaptation FIGURE 11
Source: World Economic Forum and BCG analysis.Unlock & share
climate and value
chain dataClimate and
weather dataSocio-economic &
geographic dataSelected value-
chain dataHuman-behaviour
and social dataPublic and private
data sources Earth
observationDronesInter net of
things (IoT)Scientific &
academic
resear chOther data
sour ces
AI foundation
models
Comprehend the risk
Value chain-wide implementation of adaptation use casesBuild resilience
e.g. climate & weather modelling,
risk analytics, adaptation measur es
impact modelling, planetary
intelligencee.g. early warning systems, supply
chain optimization, infrastructur e &
agricultur e resilience, material &
molecular design Respond dynamically
e.g. post-crisis mapping and
damage assessments, crisis
decision-making, evacuation &
search-and-r escue optimizationData
analytics
enginesOpen-sour ce
applicationsAR/VR
visualization
enginesInfrastructur e
(cloud storage
& processing)Standar d data
interfaces)Computing
power (e.g.
quantum
computing)Integrate & develop
technologies for
adaptation
Support
implementation with
shared experience &
insights
NASA, BCG and Universities Space Research Association developing geospatial AI
foundation modelBOX 1
A key example of a collaboration platform comes
from NASA, in partnership with BCG and the
Universities Space Research Association (USRA).
Together, they are developing a geospatial AI
foundation model aimed at addressing critical
climate adaptation challenges. This initiative high-
lights how collaboration across public, private and
academic sectors can drive innovation and tackle
complex global issues.
The system uses data from NASA’s GOES satellite
constellation, which has been collecting atmos-
pheric, oceanic and climate data since 1975.
This data, including top-of-atmosphere thermal
brightness (a measure of the infrared radiation,
or heat, leaving the Earth’s atmosphere), is pro-
cessed by AI to provide insight into the Earth’s
energy balance and climate conditions. Trained
on over 5 trillion data points gathered every 30
minutes from 18 locations over the last 15 years, the model predicts extreme weather events and
real-time insights into climate risks.
This model is designed to benefit many value
chains by incorporating other datasets including
wind speeds and precipitation, making it fit across
industries such as aviation safety, where it can
optimize flight routes and reduce contrail-induced
climate impacts.
NASA’s geospatial AI foundation model
demonstrates how collaboration platforms
can democratize cutting-edge technologies
and stimulate better climate adaptation
strategies across multiple sectors. Through
such partnerships, businesses can leverage
AI-powered insights to enhance resilience,
protect value chains and contribute to global
sustainability efforts. Sources: NASA, BCG
analysis.63
Climate Adaptation: Unlocking Value Chains with the Power of Technology
31
Ask AI what this page says about a topic: