Bluestone Research: Machine Learning and Optimization on Massive Data
Bluestone Research provides advisory services and software for discovering actionable information from massive data sources. We provide solutions to tackle problems in social-media analytics, e-commerce, online advertising, retail, banking, manufacturing, and travel sectors. Addressing these problems requires the automatic analysis of vast data sets comprised of numeric, text, and discrete data types.
Our methods draw from advanced machine learning, data mining, and optimization methods that scale to massive data sets.
We focus on three critical areas of analytics:
- Prediction: Methods to make predictions of future events based on past data. Examples include predicting the best product for a consumer based on clickstream and purchase data, predicting the best ad to show based on clickstream data, predicting the next links that will show up on a Facebook page.
- Segmentation: Methods to break apart complex data sets into simpler segments. These techniques can help discover subnetworks in a social media that have high market value, subsets of customers most likely to be heavy spenders, and subsets of products with high revenue potential. These tools can help discover valuable patterns in large data sets.
- Optimization: These advanced methods are used to make the best decision when faced with uncertainty. Some examples of the use of optimization include developing the best auction strategy for an ad network given a constrained budget, choosing the best way to determine if a promotion will work or not.
Bluestone Research has nearly 25 years of experience in these and related areas.