Once your solution has been proven effective for its original audience, you may be thinking about how to optimize and scale it. Whether that be to more users, new types of users, different geographies, novel use cases, or something else entirely, this module will look at the challenges that come with scaling AI solutions and how to navigate them. This may include scaling your technical infrastructure, iterating on product decisions to effectively reach those new audiences, refining the ways in which you engage with your community, and more.
PJMF has not developed content for this module yet, but let us know you’re interested, and we’ll keep you in the loop if/when it’s released.
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How will we continue to improve the impact of our solution and ensure that it evolves with new technology best practices?
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How might we amplify our efforts and share our solutions and/or learnings to the wider AI for good community?
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How is our solution directly or indirectly impacting the environment, individuals, and the wider society and how might we mitigate potential negative effects?
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The Patrick J. McGovern Foundation (PJMF) is a philanthropic organization dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private, and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.
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