January 2017 Summaries

Raj Bhan, who once suffered an injury from following a generic fitness regimen, now leads a data science team at Fitbit, focusing on personalizing fitness programs through machine learning. By integrating user data from Fitbit devices and Fitstar, Raj’s team aims to create tailored workouts that adapt to each user's habits and needs, enhancing user engagement and satisfaction. Despite the challenges of managing vast amounts of data, the team strives for innovation by leveraging machine learning to provide personalized experiences, thus differentiating Fitbit from competitors. Raj emphasizes the importance of building models that cater to individual users, believing that this personalized approach is crucial for providing real value in consumer technology.

Medium, an online self-publishing platform launched in 2011, has been a significant player in new media with $132 million in funding due to its accessible content, yet it faced financial challenges, leading to layoffs in early 2017. The company plans to redefine its business model to better reward writers and creators, highlighting a broader issue in digital media about how to monetize creative work. Industry experts, including Hunter Walk, Ellen Chisa, and Nick Rockwell, are exploring various revenue models beyond traditional advertising, such as subscriptions and crowdfunding, to support creators fairly. There is a consensus that while opportunities for creators have increased, they now need to possess additional skills beyond their core creative talents. The discussion also touches on the potential role of data in enhancing compensation for creative work by providing more meaningful metrics to track success.