Insights
Insights
Using Large Language Models for research
How long would it take to read 10,000 scientific articles? Even at a rate of 10 per day, it would take almost three years! Yet, within these papers lie untapped insights that could transform agriculture in the face of climate change. At finres, we’re leveraging cutting-edge AI tools, including Large Language Models [...]
Read moreFive Insights from five Years of Using AI and Science to make agriculture more resilient in the face of global disorders.
This month, finres celebrated our fifth birthday: five years of using the latest AI and science to bridge the financing gap and make agriculture more resilient to mounting global disorders. Along the way, we’ve worked with farmers, cooperatives, development institutions, banks, and governments to answer a critical question: How will global disorders, [...]
Read more3 takeaways from COP29 on adaptation and agriculture
COP29 emphasizes the urgency of scaling up private sector investments in adaptation, especially for agriculture. As climate risks intensify, the roadmap to COP30 will focus on actionable solutions to build resilience in global food systems.
Read moreThe new normal: French agriculture in an era of climate extremes
New analysis from finres highlighting the scale of the devastation caused by the wet agricultural season in 2024, the increased frequency of such climate extremes in the near future, but also what can be done.
Read moreThe Evolving Landscape of Climate Risk Disclosure for Banks
Climate change poses a growing challenge for the banking sector, with far-reaching impacts on economies and communities. The increasing regulations and guidance on climate risk disclosure for banks are especially important to banks that finance and provide financial services to the agricultural sector.
Read moreHarnessing the Power of Machine Learning for Agricultural Adaptation
In the world of climate science, one of the most complex challenges lies in producing accurate seasonal forecasts. These forecasts are critical for agriculture, as they enable farmers to make informed decisions about what to plant, when to plant, and how to manage their resources over the coming months. However, achieving accurate [...]
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