Data Science And Design Will Improve Each Other

Data-fueled products are the new material of design, but many companies fail to use pattern finding appropriately, if at all: Data scientists neglect the people their algorithms affect, while designers neglect the data science that shapes the experience. A three-part solution will alleviate some of these troubles: Educate, staff, and operate design teams differently; adapt design methods to machine learnng algorithms; and use the risk of making a mistake as a design guide. Because of data-fueled products and the melding of the design and data science roles, expect to see cross-pollination between the two fields, a weaker pull on visual-design-focused designers, stronger regulations, and designers with mental health problems.