Operationalizing AI for Impact: Investor Use-Cases and Lessons Learned
Track
Shaping Capital Systems
Format
Delegate-Led Meet Up (Up to 2 Facilitators/Speakers)
Speakers
- NameJacob Tate
- TitleManager and Team Lead, Data Structure and Analysis
- OrganizationThe Global Impact Investing Network
- NameAdditional speakers to be sourced from the working group - which is currently in the process of launching. More to come!
Description
The core characteristics of impact investing include the use of data to measure and manage impact. However, impact data collection, analysis and management remain a tangible burden to scaling solutions that solve systemic problems facing people and the planet. This session moves beyond the theoretical, drawing on insights from the GIIN’s Impact Investing and Artificial Intelligence Working Group to showcase how AI can be a catalyst for scale. It will deep dive into implementation-level experiences from a diverse cohort of investors, exploring varied use cases and practical perspectives on using AI to improve operational processes and impact measurement and management.