Machine Learning Consulting
Machine Learning Strategy & Roadmap
We evaluate your current business environment, existing investments, and skillsets to help you understand, plan, and drive ROI for advanced analytics across the entire ML lifecycle.
Projects may include:
- Use case & ROI analysis
- Platform & vendor selection
- Reference architecture & dependency engineering
- Blueprint development
Model Development POC
Explore machine learning with a low-cost, high-value entry point. We’ll help you identify a relevant use case, develop a proof of concept, source and pre-process your data, engineer a model, and deploy it in real time.
Projects may include:
- Workshop facilitation
- Business analysis
- Data discovery
- ML modeling
- Data engineering
- POC design & implementation
Model Selection & Tuning
You need to identify the right machine learning platforms and algorithms to drive predictive analytics. We’ll explore your data and expand, tune, or optimize your existing machine learning models, including MLaaS models in AWS and Azure.
Projects may include:
- Business analysis
- Data discovery & engineering
- Platform selection
- ML modeling
- ML optimization
Model Deployment
Our machine learning consulting teams embed your AI and ML models in new or existing platforms to push your results to the transaction level – ensuring that your machine learning solutions help your company rapidly achieve insights.
Projects may include:
- ML DevOps
- MLOps Pipelines
- Integration development
- Application integration of ML insights across web, mobile, & other platforms
