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Data Mining and Predictive Analytics
Predictive Analytics Engine

Prime's distinct PA approach focuses on learning and building on “experience” from each condition. We extend and apply this learning model as we assess data connected to multiple conditions. Data mining for business intelligence and predictive analytics are at the core of our tech philosophy.

Our machine learning engine applies:

  • Proprietary feature engineering methods and deep learning
  • Machine Learning (ML) / Computational Intelligence (CI)
  • Non-linear Dynamic System Analysis (DSA)
  • Data mining techniques
 

Supported ML Platforms

  • Microsoft Azure ML
  • Cloud-based ML
  • Graphical drag-and-drop interface
  • Seamless integration with open source technologies
  • Disaster recovery
  • Export predicted data to Excel
  • R and Python support
  • Publish your model to a web service
  • IBM Watson ML
  • Available as a set of open APIs and SaaS products
  • Drag-n-drop interface
  • A suite of APIs includes speech to text, text to speech, trade-off analytics, personality insights, question and answer, tone analyzer, and visual recognition
  • An open-ended service for interrogating data
  • Google Analytics
  • A fully automatic tool for supervised machine learning
  • Minimal responsibility for the algorithm development on users
  • Loads data from anywhere in its vast network of web services
  • Pulls data effortlessly from RDS, S3 and Redshift
  • Amazon ML
  • Business Continuity
  • Data Retention
  • Privacy Regulations
  • Verify Data Collection
  • Fix Mistakes
  • Expose Hidden Visitors