Zest AI: Machine Learning and Credit Access Case Study

Zest AI: Machine Learning and Credit Access - A Harvard Business Review Case Study
This document details the Harvard Business Review (HBR) product page for the case study titled "Zest AI: Machine Learning and Credit Access." It outlines the case study's focus on how Zest AI utilizes machine learning (ML) to enhance credit access, making financial services more inclusive.
Product Overview
- Title: Zest AI: Machine Learning and Credit Access
- Authors: David S. Scharfstein, Ryan Gilland
- Publication Date: November 15, 2023
- Pages: 14
- Source: Harvard Business School
- Product #: 224033
- MSRP: $11.95 (USD)
- Format Information: Available in various formats including PDF, Audio MP3, Audio M4A, Audio CDROM, Audio Cassette, Bundle, DVD, Event Live Conference, Event Virtual Conference, Word Document, Electronic Book, Enhanced Electronic Book, ePub, Financial, Ebook, Hardcover/Hardcopy, Hardcover/Hardcopy (Color), Hardcover/Hardcopy (B&W), Web Based HTML, Kit, License, Magazine, Mobi, Multimedia CDROM, Multimedia Windows Media, Paperback Book, Powerpoint, Paperback/Softbound, Paperback/Softbound (Color), Paperback/Softbound (B&W), Registration Fee, Short Run, Subscription, Service, Video CDROM, Video DVD, Video Flash, Video VHS (NTSC), Video VHS (PAL), Video Real Player, Microsoft Excel Spreadsheet, XML, Zip File.
- Languages: English, Spanish, Chinese, Danish, French, German, Japanese, Portuguese, Polish, Russian, Slovak, Traditional Chinese.
Case Study Focus
The case study explores Zest AI's innovative approach to credit assessment using machine learning. It highlights how ML algorithms can analyze a broader spectrum of data, leading to more accurate risk assessments and expanding credit opportunities for individuals who may not qualify under traditional lending models. This contributes to greater financial inclusion.
HBR Store Features
The page also showcases the functionality of the HBR Store:
- Navigation: Includes links to Home, Case Studies, Popular Topics, Collections, Books, Tools, Articles, Magazine Issues, and Search by Topic.
- Search Functionality: Multiple search bars are integrated throughout the page for quick product searches.
- Account Management: Options for users to Sign In, Create an Account, access their My Library, view Orders, manage Account Settings, and update Email Preferences.
- Product Details: Displays product images, descriptions, pricing, and related products.
- Customer Interaction: Features for writing reviews, rating products, and viewing existing reviews.
Special Offers and Permissions
- Educator Registration: Encourages educators to register as Premium Educators for course planning and student discounts.
- Copyright Permissions: Clarifies that PDFs are for individual use only, and bulk purchases are required for team sharing, with tiered pricing based on quantity.
Related Products/Content
The page also lists related products and articles, including:
- "Using Federated Machine Learning to Overcome the AI Scale Disadvantage"
- "A New Model to Expand Credit Access Globally"
- "Drishya AI Labs: Enhancing Alarm Intelligence Through Machine Learning"
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Original article available at: https://store.hbr.org/product/zest-ai-machine-learning-and-credit-access/224033