Discovery
We start by understanding the client’s data and whiteboard collaboratively the best strategy to harness the data: investigate data types, data governance, and data monetization.
Use Cases
Working with domain experts, we identify the highest volume of potential use cases, then define and prioritize. We begin designing actionable and valuable solutions.
Unlock the Data
Phase one, we begin to unlock the data trapped in the client’s organization by data mapping. The goal is to expose and commercialize this data to third parties through APIs.
Pilot the Data
We deploy the use case in a pilot environment and measure the results against defined KPIs.
Train the Data
Phase two, we work to create insights on top of the data. Through machine learning, we create data models, train these models, and start working on an AI strategy.
Expand Insight Products
Through an iterative process involving the client and the target market, we develop and productize AI-insight services. Again, all outcomes are measured against defined KPIs.