Solving Challenges for Chief Data Officers with A.I.

Machine Learning, Sponsored Research

Fall 2020, seniors at NC State worked with a team at SAS Analytics for 9 weeks to design an experience within SAS Information Catalog that utilizes Machine Learning (ML) and Artificial Intelligence (AI) to solve challenges for a Political Data Team or Chief Data Officer.

Colorful diagram of data exercise from virtual launch
Benchmarking: many examples of data visualization
User Interviews: image of zoom screen with multiple faces of students and users
Personas and Scenarios: examples of persona and scenario information
Sketches and ideation: image of lots of sketches
SAS Critique round 1: zoom screen with faces and early interface designs
User Journey Map diagram
Taskflow diagram
SAS Critique of Rough Prototypes
User Testing via Zoom
Hi-fi Prototypes and Scenario Videos. The final steps.

The Results

Team 1: Asumi Hasan, Andrew Thornton, Lily Reed

Team 3: Michael Zemojcin and Amy Nailor

Team 2: Andy Hilts, Abram Magaldi, Olivia Bryant