Amazon Web Services
The future of Machine Learning
We partnered with AWS on their next-generation product, SageMaker Studio—a machine learning and insights platform that is simple, powerful, and future-flexible.
A more accessible ML
AWS wanted to open up machine learning capabilities to more people, so we designed a no-code interface that allows users to easily build models and generate predictions, all within a collaborative environment.
To top it off, we added new dynamic infographics, resulting in a lot less intimidation and a lot more illumination.
Empowering experts
We studied ML users to design workflows that empowered researchers to prepare data, collaborate on development, and deploy their models—all on a single web platform.
By combining research and heuristic evaluation, we pinpointed specific usability enhancements to ensure every step was tailored to its use case.
A north star design system
SageMaker Studio required a visual language overhaul, including streamlined interactions, new dynamic patterns, and a cohesive framework. To achieve this, we created a uniquely branded, eye-popping design system called Bloom.
Accelerating teams
Our team worked closely with the AWS team, coordinating parallel tracks of work that allowed design, product management, and engineering to conceptualize, build, test, and deploy the new SageMaker faster than you can say “agglomerative clustering.”
