Unlocking Your Data’s Potential
Data Science is a key enabler for Criterion’s solutions. We leverage our wealth of experience with data engineering, algorithm development, statistical analysis, and Artificial Intelligence/Machine Learning (AI/ML) implementations to architect solutions that transform how our customers interact with and extract value from data. From cybersecurity risk management to extracting and analyzing data collected from globally dispersed IoT sensors, we provide our customers with the data pipelines, insight, and analytic reports they need to make sound, evidence-based decisions. We:
- Control and customize algorithms and AI/ML model training to provide higher quality results to our customers
- Intelligently transform petabytes of data through data engineering, enabling superior AI/ML models and analytic algorithms that drive mission-critical impact
- Create and train machine learning algorithms that provide insights into emerging threats, opportunities, and mission intelligence
- Architect and deliver customized data science environments (large or small) to meet mission needs
- Improve customer experience through rich data visualizations
Our Approach
Behind every great data scientist is a set of tools, data, and hardware all optimized to fit the unique business or mission need. We architect and deliver a customized data science environment specific to each client’s needs. Team Criterion has already transformed petabytes of data through data engineering, powering machine learning algorithms, generating enriched data visualizations.
Criterion’s data sciences team delivers:
- Data Discovery
- Data Engineering (Extraction, Transformation, Loading, Cleansing, Integration)
- AI/ML (Deep Learning, Predictive Modeling, Topic Modeling)
- Visualization
- Business Intelligence Reporting (Value Abstraction, Sense Making)