Cognityze (cognityze.com) is a machine learning systems integration organization. We have years of experience helping our clients design, train, and deploy highly optimized machine learning models that have led to significant operational efficiencies. We have a wealth of experience building machine learning solutions for the following use cases:
- Time Series Forecasting
- Anomaly Detection
- Preventative Maintenance
- Natural Language Processing
- Price Prediction
- Recommender System
Aside from helping our clients, we dedicate a portion of our resources to offering pro-bono machine learning services to the qualifying non-profit organization.
Non-profit organizations can benefit from machine learning in many ways. The following are just a few examples:
- Donation Forecasting: Machine learning time series forecasting techniques can be used to forecast the expected levels of donations at various future timeframes. This can help non-profits to do proper resource planning for peak periods.
- Identifying Donors at Risk: Machine learning anomaly detection techniques can be used to detect subtle changes in the behavior of loyal donors that might be dissatisfied. Early intervention can usually save such donors. The cost of signing up new donors is far greater than saving the existing ones.
- Sentiment Analysis: Textual feedback and reviews of donors can be analyzed using Natural Language Processing to determine the general perception held by donors. Organizations can be alerted when there is a shift in public perceptions.
- Donor Segmentation: Machine learning can be used to categorize donors into groups that behave similarly to certain promotional campaigns. This can help organizations to fine-tune their campaigns targeting a specific segment of their donors.
**Nonprofit who are interested in getting their support, please contact Al Gharak - al@cognityze.com
