Klarrio’s Machine Learning Discovery (MLD) process offers a quick, low-risk and high-impact implementation blueprint for building AI and ML-driven data-based processes—all at a fixed and affordable cost.
The MLD involves three distinct steps:
- Prove & Build
Depending on your specific needs, potential outcomes include:
- Strategic business insights revealed by a machine-learning model
- Proving or validating a pre-defined strategic hypothesis
- Proof-of-concept/s ML-based application/s
- The ability to predict and classify relevant processes
- The ability to replicate and scale human capabilities
- Segmenting, clustering, and grouping relevant variables
- Strategic recommendations and informed suggestions
- Finding the root causes of important outcomes by better understanding key variables that drive them
- Any number of other scenarios that are relevant to you.
Our data engineers, data scientists, and strategic business development experts will help you make the decisions you need to put ML-based data analytics to work for you.