As your organization begins to double down on a potentially impactful AI-based solution, having a strong level of data readiness becomes critical to applying AI in an effective, impactful, and responsible way. Having good data readiness is important for any effective application of AI, both custom and off-the-shelf, but if you’re working towards a custom tool, it will be especially critical. Data readiness means thinking about what data exists and what is still needed, the quality of that data, and what infrastructure needs to be in place to support a safe and successful implementation.
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Learn through our self-paced group online course
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Read a case study
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Let us know if you’re interested in a live session
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How can we ensure that we're pursuing solutions that are deeply rooted in the problem at hand, taking a people-first rather than a tech-first approach?
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How do we navigate the decision to build something custom vs. leverage an off-the-shelf solution?
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From budgeting to building the right team to assessing potential risks, how do we go about planning an AI project?
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With an impactful solution in mind and an AI project plan in hand, how do we craft a strong grant proposal to secure the necessary funding?
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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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