BROADCASTS.com

Glen Ansell, Intelligent Automation Lead, and his team at Tangent Solutions worked on a project whereby they used artificial intelligence (AI) and robotic process automation (RPA) to help speed up x-ray screening for potential COVID-19 cases. In order to build an effective solution, though, Glen’s team had to make sure their solution was non-invasive, rolled-out quickly, and built robustly without room for error.

In this conversation, Glen outlines the project’s problem statement, the technical requirements, the unique challenges and constraints his team faced, and how they approached their solution given their specific context.

Check out some of the key takeaway lessons, or read the full transcript, on the blog post here! ()

[04:50] Rapidfire ‘warm up’ questions
[08:04] Introduction to Tangent Solutions: What problems do they solve?
[13:15] Defining AI and RPA in the context of this project specifically
[16:21] Project outline: The problem statement, constraints, and challenges
[20:21] The project’s technical requirements and “main goal”
[22:16] Contextualising the project’s goal within the technical constraints and challenges
[25:42] High-level project approach: Critical considerations, and step-by-step process
[32:34] Guiding principles: What does “non-invasive” tech mean?
[37:06] How unique challenges and constraints affected workflow and development
[41:00] Closing thoughts: Potential of this tech going forward