IBM and Neighborhood Trust: Leveraging data and AI to financially empower low-income workers webinar

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IBM and Neighborhood Trust: Leveraging data and AI to financially empower low-income workers webinar 

Thu April 07, 2022 03:02 PM

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Summary 

Neighborhood Trust Financial Partners is a financial services innovator that creates financial security for low-wage workers through workplace and marketplace solutions. As part of the IBM AI incubator for social impact, IBM and Neighborhood Trust teams collaborated to explore and analyze data to derive insights and build a machine learning pipeline to understand the relationship between users’ financial characteristics (such as bank transactions and credit reports) and their probability of experiencing financial distress. The team prioritized transparency to explain the impact of features on user’s likelihood of being in financial distress. Part of the solution relied around the application of a novel segmentation algorithm called ProtoDash, which allowed the team to identify “prototypical users”, or users that are the most representative of Neighborhood Trusts’ user base. The team used Watson Studio, AutoAI, and the AI Explainability 360 toolkit during their engagement.

Speakers




Aakanksha Joshi, Senior Data Scientist, IBM Data Science and AI Elite
Aakanksha is a Senior Data Scientist in the Data Science and AI Elite (DSE) Team at IBM. Based out of New York City, Aakanksha works with enterprises across industries to address some of their biggest business challenges using data and machine learning-driven solutions. She holds a Master’s in Data Science from Columbia University and a Bachelor’s in Computer Science from University of Delhi. She has presented at prestigious conferences such as EURO-K and is an open-source contributor. She is also a strong advocate for ethical AI and using data and AI for good and has participated in and led initiatives around the same, both within and outside of IBM.




Gabriel Gilling,  Senior Data Scientist, IBM Data Science and AI Elite
Gabriel is a Data Scientist and specializes in statistical analysis, including applying Bayesian frameworks to business use cases. He holds an MA in Quantitative Social Science from Columbia University. Before going to graduate school, he worked as a research associate for a macroeconomic focused shop in Montreal.




Leo Rayfiel, Associate Director of Data & Analytics, Neighborhood Trust Financial Partners
Leo Rayfiel has worked at Neighborhood Trust and the TrustPlus program specifically for four years and currently serves as the organization’s Associate Director of Data & Analytics. In that capacity, he works across four different financial coaching programs to collect data and generate insights that inform service design and evaluation. His work helps keep Neighborhood Trust accountable to achieving its mission of reducing client over-indebtedness.

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Uploaded - Thu April 07, 2022