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How are organizations predicting at risk constituents and identifying prescriptive actions to improve program outcomes? The key is using Artificial Intelligence (AI) and Machine Learning (ML) applications to detect those at risk and to intervene to prevent detrimental drop out, as well as defining the traits of those constituents who succeed.
Watch this webinar, Catapult and Microsoft AI and ML experts will show tactical examples of how organizations can start applying AI to make data-driven decisions to improve program outcomes. Such as:
Other times, those enrolled drop out before the mission of societal improvement is complete:
This webinar is a non-technical discussion around how AI & ML can amplify good outcomes and mitigate detrimental exits.
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How are organizations predicting at risk constituents and identifying prescriptive actions to improve program outcomes? The key is using Artificial Intelligence (AI) and Machine Learning (ML) applications to detect those at risk and to intervene to prevent detrimental drop out, as well as defining the traits of those constituents who succeed.
Watch this webinar, Catapult and Microsoft AI and ML experts will show tactical examples of how organizations can start applying AI to make data-driven decisions to improve program outcomes. Such as:
Other times, those enrolled drop out before the mission of societal improvement is complete:
JThis webinar is a non-technical discussion around how AI & ML can amplify good outcomes and mitigate detrimental exits.
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