Development is not just about technology: it needs to encompass needs for long-term buy-in and sustainment throughout the organization.
That’s why we take a holistic approach to our development. Our methodology is outlined below. Visit our No Hype Analytics blog for a post on this approach in greater detail.
Align on the value the AI solution will bring throughout the organization
Determine the type of algorithm, data needed, and tech stack to run to resolve any dependencies in advance
Discover the people that will interact with and/or be affected by the AI model and determine any process changes that will be needed to ensure the AI recommendations can be implemented
Build the model in the fashion that ensures long-term success, whether that is co-creating an initial solution with an existing data science team or have a product that can run long-term with minimal maintenance Accelerate model build using o
Determine performance metrics to monitor financial impact and AI solution quality, and ensure both are sustained over time
Develop the solution on-site and in-person, wherever your operations are around the globe