The SIPA team worked with the Self-Employed Women’s Association, a membership-based organization of nearly 2 million poor self-employed women workers across India, to identify technologies that can improve SEWA farmer members’ resilience to climate change. From field visits, and regular consultations with the SEWA Agriculture and ICT teams, the SIPA team learned that timely, predictive weather and price information are priority needs for SEWA farmers. To respond, the SIPA team recommends a range of predictive technologies/services, which can be leveraged through partnerships in the near term, as well as steps for SEWA to grow its farmer-specific database, and build capacity over the longer term, to capitalize on advanced technologies that use AI and machine-learning.