We engage executive decision makers, product and domain experts, data scientists, data engineers, software engineers, and machine learning ops teams to arrive at your AI strategy.
We also gauge how ready your company is to embrace AI technologies, and how valuable your data set is today to power your AI strategy.
Define the business problem to be solved with AI and its value
Identify the best use cases for applying AI
Define prediction variables and AI features
Create the AI data strategy
Review the latest solutions and literature
Determine the model and training approach
Experiment to find the signal in the data
Scope ability for AI/ML to enhance product roadmap
Look for measurable signal value in data sets
Validate clean and ready-to-go training data for experimentation
Determine metrics needed to achieve success using AI/ML Investigate new techniques to consider for use cases Understand current frameworks, algorithms, and models