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Capability ExpertiseAnalyticsArtificial Intelligence & Machine Learning

Artificial Intelligence and Machine Learning (AI/ML) are taking the world by storm. While there will always be controversy in any rapidly-expanding field, some advances fueled by AI/ML are undeniable. The two terms are closely linked. For our purposes, we’ll consider them both to be examples of software that exhibits intelligent behavior without having to be explicitly programmed. Some estimates say that within 40 years, the majority of jobs will have some kind of AI support, if not completely replaced by intelligent software agents. In some fields – radiology, board games like chess and Go, and arguably even driving – intelligent agents already perform better than the best humans and will rapidly get better. Whether you’re an AI enthusiast or sceptic, it seems clear that the time to start preparing for the future of AI is now.

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Help me assess how I should prepare for the AI-enabled future

Chances are that at least one of these questions has occurred to you: Is it worth my time to track advances in AI? Could any of them apply to my business? Is it cost-effective to start small and grow my AI capabilities over time? How much should I invest in AI now and in the near term? Trexin can help you devise a systematic framework to make sense of the questions and answers around AI.

Areas of Expertise:

  • Intelligence Amplification
  • Automation

Help me understand how ML can show me hidden patterns in my data

One immediate benefit of Machine Learning is that it can process amounts of data too large for a single person to reasonably analyze. Closely tied with the idea of Big Data is taking advantage of the families of ML algorithms to find patterns in your own data that had been hidden. Whether your business problem or question revolves around regression problems like risk scoring or risk adjustment in healthcare, classification problems like identifying fraud in financial data, or clustering problems like finding groups of people who exhibit similar online behavior in digital/web analytics or CPG, Trexin can help you thoughtfully explore your data to drive insights and value.

Areas of Expertise:

  • Clustering
  • Insights
  • Big Data
  • Regression and Classification
  • Non-Linear Transformations
  • K Nearest Neighbors
  • Logistic Regression
  • LDA (Linear Discriminant Analysis)
  • Resampling - k-fold, bootstrap
  • Model Selection and Regularization
  • Shrinkage: Ridge and Lasso
  • Dimension Reduction: PCA (Principal Components)
  • GAM (Generalized Additive Models)
  • Regression and Classification Trees
  • Bagging, Random Forest, and Boosting
  • SVM (Support Vector Machines)
  • Unsupervised Learning – PCA and K-Means
  • Neural Nets / Tensor Flow / Keras
Healthcare Interoperability

Implementing Interoperability – The Final Rule

Umar Nadeem and Elizabeth Badrov provide helpful information regarding navigating and implementing The Final Rule.

Tagged in: Analytics, Healthcare & Life Sciences, Optimized Operations, Technology