Data-viz driven AI Strategy

Project Description

Insurance company —part of IBM Data Science Elite team's project. 


I ran a design thinking workshop for the IBM client's stakeholders and business sponsors, and based on the outcomes, I designed and prototyped a data-driven tool to illuminate what can be achieved by combining predictive and prescriptive models.


The tool empowers the client's decision-makers by illuminating the information generated by the AI models, and transforming it into actionable information for the end users.


Addressing an AI use-case from a data visualization and storytelling perspective gave the client's stakeholders the means to understand the business value provided by the IBM data scientists' AI and ML techniques.

My role in the project

  • Run design thinking workshop

  • UX interviews and user research

  • Ideated solution

  • Design tool concept based on data scientists' outcomes 

  • Prototyped the tool for demo (Javascript, HTML, CSS)

  • Designed and Produced video for final tool demo (Adobe After Effects)

Designing an AI strategy

through data visualization

By running a design thinking workshop, I found the business opportunities hidden in the client's data.


The pain points that afflicted the end user — who was identified by the client's team over the workshop, became the baseline for better understanding the user's workflow and its point of inefficiency.


Based on insights obtained during the workshop, I was able to conduct UX interviews and user research that enabled me to ideate, design, and develop a prototype built on the combination of different AI and ML models.