In human-centered design and agile software development, it’s hard to overstate the importance of prototyping. Prototypes are incredible, low-investment tools for learning and validation. These preliminary experiences are necessary when it comes to AI given its enormous overhead (e.g. data collection, model building, reliability testing and maintenance). …

Machine learning (ML) technology has the possibility of fundamentally changing how we approach innovation. Instead of the traditional moonshot approach (iteratively building/improving features toward a lofty goal), our team has had success using a data-first approach* to meet monumental benchmarks. …

Excited about synthetic data? Maybe you’ve read my article about how design fits into the machine learning process, and the power of synthetic data. When you don’t have access to a clean public dataset, generating synthetic data can be a powerful way to bootstrap your models. And synthetic data has…

Today, machine learning (ML) is a component of practically all new software products. For designers there is sometimes a question, “what is the role of design in machine learning?” How can designers engage in the process of creating a machine learning powered product? We’ve been working on Salesforce’s new Einstein…

In the popular imagination, there’s still a wide gulf between machine-generated content and human creativity. But that gulf is narrowing as architects, product designers, filmmakers, and a wide range of other creative professionals use generative design to create and iterate on design possibilities. UX design is no exception. Over the…