Introduction The growth of AI and machine learning (ML) has led researchers to think, research and stress the development of ethical AI solutions - with AI models / solutions able to provide: Explainability & Interpretability Privacy Fairness Model...
During our recent Data Science Salon Virtual conference for the media, advertising and entertainment industries, we had Anne Bauer with us from The New York Times. She gave one of our most viewed talks about how The New York Times experiments with personalized...
Top 25 Data Science Influencers to Follow in 2022 In the current times of COVID-19, we rely on exchanging information online, now more than ever. Keeping track of the latest open source library, a new algorithm or recently published paper can be hard or impossible on...
My pandemic media diet has been mostly newsletters and podcasts. I start my day with The New York Times and Morning Brew, and I end it questioning whether the CIA wrote one of the great post-Cold War rock ballads while cooking dinner. The bar to being a content...
Presented by Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group during Data Science Salon Austin, you can watch the full talk here. As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more...
Based on a presentation by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility, watch the full presentation here. Widely considered one of the most interesting talks at #DSSATX (overall event recap here), Priscilla Boyd’s real-world examples of data...
Based on a presentation by Chris Lindner – Manager, Product Science at Indeed, watch the full presentation here. Note: This talk was presented in February, and the job market has changed quite a bit amidst the COVID-19 pandemic. While not specific to jobs in data...
Based on a presentation by Caitlin Hudon – Lead Data Scientist at OnlineMedEd, watch the full presentation here. At #DSSATX (overall event recap here), we loved the super-practical step-by-step advice on setting up the very first data science infrastructure and team...
AutoML is a term that appears increasingly in tech industry articles and vendor product claims, and is also a hot topic within AI research in academia. Consider how nearly all of the public cloud vendors promote some form of AutoML service. The tech...
Across the breadth of topics covered by speakers over two (rainy) days at Data Science Salon in Austin, February 18 & 19, 2020, two major themes emerged: the maturation of the data lifecycle, and the intersection of humans and machines. Our speakers acknowledged...