Increase revenue. Reduce costs. Gain insight.
We build machine learning and data analytics tools tailored to your needs.
What can you do with our tools?
- Predict inventory needs
- Model the effects of pricing changes
- Customer segmentation
- Predict employee needs
- Analyze customer behavior
- Predict equipment failure
- Effective product recommendations
- Analyze customer feedback or sentiment
- Predict customer churn
What is machine learning?
Machine learning is the science of getting computers to learn from and make predictions on data without being explicitly told what to look for. The idea is to have the machine learning models aid decision makers by providing hidden insights or by taking action without human intervention.
Machine Learning Models
The sophisiticated pattern recognition capabilities of machine learning models, as well as their ability to adapt to new data, can aid you in making more intelligent and informed decisions. We build custom machine learning models which are trained and adapted to your data, and then integrate those models through APIs or reports.
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. It consists of finding correlations or patterns among data and using that insight to inform decision making processes.
Some problems are difficult to solve with classical machine learning due to the need to define which features of the data are important. Deep learning consists of processes, such as neural networks, which are able to learn feature importance on their own. As a result, deep learning techniques are especially effective on very large data sets. Combined with modern computational technologies, such as GPUs, they can extend machine learning to problems that were traditionally difficult to solve.
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened and instead provide a best assessment (i.e., forecast or prediction) of what will happen in the future.
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data to work?
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