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In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into the Predictive Analytics / Decision Support pattern of AI. This pattern uses machine learning and other cognitive approaches to understand how learned patterns can help predict future outcomes or help humans make decisions about future outcomes using insight learned from behavior, interactions, and data. The objective of this pattern is helping humans make better decisions.
We discuss various examples include forecasting, machine learning-based forms of regression and prediction, assisted search and retrieval, number or value predictions including dynamic or predictive pricing, predicting behaviors, predicting failures, and anticipating trends.
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The Tubman Project is a new AI research startup building machine learning tech for public defenders. Every day, people in the US are faced with inadequate legal representation. Public Defenders are buried in an avalanche in information from their massive caseloads. As a result their clients are left nearly undefended.The primary goal of Project Tubman is to create a Public defender AI; an open sourced tool that can be used by public defenders to help them defend their clients. This tool will be designed to take some of the load off of the public defenders who are often tasked with more cases than it is humanly possible to take on.To learn more, check out the Tubman Project (https://tubmanproject.com/) online and help us Free 1000 More.