During the Discovery phase, we assess the client’s current state and level of AI-maturity. This collaborative deep dive into the business helps us to understand the nature of decision making and workflows, any barriers to AI adoption, and the nature of data collected – including how the data is acquired, performing exploratory data analysis, and looking at governance around the data. Deliverables are typically clear requirements and articulated value proposition.
During the Design phase, Using design thinking principals, we design a proof of concept, focusing on statistical validation of the model and the feasibility to develop and scale in the organization’s ecosystem. This includes iterative experimentation and learning, researching appropriate AI / ML methodology (model selection, feature engineering, testing and selecting different models), allowing us to further refine the problem statement. Deliverables are typically validated assumptions and a development plan.
Our solution roadmaps are based on agile methodology applied to data science: we work in week-long sprints incrementally exploring and validating different assumptions and analytical capabilities that contribute to the final solution.
We de-risk the development of AI projects by addressing barriers to trust in the solution. The process is designed with three goals in mind:
1. Understand the nature of decision making, workflow, and pre-existing technology that the solution will ultimately impact
2. Identify potential barriers to adoption or trust that must be taken into consideration during the design process
3. Understand the nature of collected data and how that influences the selection of machine learning methods
Documentation of findings, including assessment of data quality and suitability in addition to any steps taken to enrich data
Prototypes and initial validation results of models
Recommendations for next steps and plan to develop and scale the necessary predictive models
No matter the stage in your AI transformation, our team will meet you where you are to design and develop trustworthy AI solutions that create a clear competitive advantage
Need help setting the foundation for AI success? We can help identify your most valuable use cases.
We help ease the burden of bringing AI & data science in-house with both leadership and project-level support for your team.