Enterprise Data Science
Top 10 AI Platform Use Cases For the Enterprise

There will be two phases of judging. The first phase will review the fundamentals of your project. For phase two, each team will present their project orally, providing a comprehensive overview of their project. Projects are scored 1-5, with 5 being Excellent.
Identification of Problem/ Theme | Data Integrity | Design |
---|---|---|
The problem statement is clear and interesting; the title of the project accurately reflects the data. | All data in the project is accurate and not manipulated manually. Data source/flow is presented for each image, chart, or function. | The overall quality of the project Design aesthetic: limited clutter, good use of color contrast and patterns. Visual communication is clear |
Communication | Presentation | Reflection & Problem-Solving | Passion | Length |
---|---|---|---|---|
The presentation is well-paced and communicated. The logical sequence is obvious. | Process, insights, and a solution to your project are presented orally. Explanation of project solution. Visual and/or, physical artifact, website, or app is presented to explain how users access the solution. | Provide a balanced picture of the project by reflecting on positive aspects of the project, areas that needed improvement, and future ideas to implement. | Â is demonstrated by team members. | Presentation is within a 5-min range. |