Catalysing Business Engagement in Early Warning Systems 2025
Page 13 of 21 · WEF_Catalysing_Business_Engagement_in_Early_Warning_Systems_2025.pdf
Participation in disaster resilience initiatives also
helps businesses comply with national adaptation
frameworks, which are increasingly being
incorporated into regulatory systems. Regulatory
bodies are demanding greater transparency and
accountability, as evidenced by the Forum’s 2023
stocktake report, which identified voluntary
disclosures as a key driver of corporate
engagement in climate adaptation.23 Businesses
have found that compliance with such frameworks
can act as both a risk management tool and a
driver for climate action. For instance, some
companies accelerated their participation in EWS
due to government-enforced regulatory changes.
Moreover, a proactive approach to disaster
preparedness can enhance brand image. Companies
involved in climate resilience projects are seen as
socially responsible, which resonates positively with
customers, stakeholders and investors. For
instance, multiple survey respondents noted that
their support of EWS elevates their reputation as
responsible and innovative entities. These efforts
also enable businesses to credential their
technologies, potentially mitigating concerns related
to other social or environmental issues.Driver 3: Increasing data, information and
technological advancements
The exponential growth of data and technological
advancements in recent years presents two key
opportunities for businesses. Firstly, it creates
new avenues to sell or provide data, information
and technologies to EWS. Secondly, it opens
up new opportunities for applying weather-
related optimization across a broader range
of industries, driving efficiency and operational
improvements.
Many businesses are focusing their efforts on
harnessing cutting-edge technologies like AI, big
data analytics, cloud computing, IoT networks,
satellite monitoring and sensor development to gain
a competitive edge in the expanding EWS market.
A leading technology company, for example, uses
AI-powered risk assessments and IoT to deliver
tailored early alerts to its customers, strengthening
its position in the market. Companies
involved in climate
resilience projects
are seen as socially
responsible,
which resonates
positively with
customers,
stakeholders and
investors.
The competitive edge of AI, IoT and big data BOX 1
The integration of AI, IoT and big data
technologies is transforming how businesses
engage with EWS. By using AI-driven analytics
and real-time data from IoT networks, businesses
can automate and optimize weather-driven decision-making across various sectors. For
instance, AI-powered platforms can disseminate
early warnings faster and tailor them to a specific
client’s needs.
Catalysing Business Engagement in Early Warning Systems 1313
Catalysing Business Engagement in Early Warning Systems
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