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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