| The Urban Institute and IBM team up to fight inequality using AI |
Expedite on-ramp | Identify gentrifying neighborhoods | Explainable AI |
Get your neighborhood change prediction models up and running faster | Encourage inclusive urban growth by identifying neighborhoods at risk of gentrification or decline | Determine driving factors for gentrification on the neighborhood level using the most up to date data |
Information architecture | End-to-end AI Ladder application | Modular framework |
An architecture enabling you to extract meaning from your data to predict neighborhood change proactively | From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project | Composable and extensible pattern that can be applied to new data and industries |
Start experimenting today. Download and use this accelerator in your Cloud Pak for Data instance. Refer to the README file to get started. | Kick-start your data science solution with this accelerator. |
![]() | ![]() |
IBM Cloud Pak for Data Built on Red Hat OpenShift Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud. | Watson Knowledge Catalog Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization. | Watson Studio Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access. |
Emergency Response Reallocating assets in the most optimal way can help streamline operation costs and maximize safety. |