Machine Learning - Project Management App
Multi-layered lines of business can use Aspen to conduct their own workflows. The application has a bespoke approach to more effectively assist the user in their own set of actions.
Machine Learning - Project Management App
Multi-layered lines of business can use Aspen to conduct their own workflows. The application has a bespoke approach to more effectively assist the user in their own set of actions.
Agency
- -
Role
User Experience, Visual Design
Date
December 2018
User-centered design
We started from the ground up. I partnered with an incredible Strategist and began with end-user interviews. This was the genesis of the project; listen and adapt current applications to a more efficient and intelligent work flow now assisted by Machine Learning technology.
Machine Learning
Utilizing ML in repetitive tasks can improve work flow efficiency through automation and data analytics to predict users next step, in some cases deciding for them.
COMPUTING PROCESSING PLANNER
Computing Teraflops of Data
Specifically, a teraflop refers to the capability of a processor to calculate one trillion floating-point operations per second.
Due to the large amount of data required to be processed a computing planner is required to schedule future processing activities and a way to review to them as they are conducting their processes.
COMPUTING PROCESSING PLANNER
Node Details
Drilling into a detailed view to see the layers of activities planned for each processing phase.
This dialogue box would provide the user the ability to dig deeper into the information around their project while maintaining their position in the App. When closing this window they can resume any action item they were conducting.
