Recent Posts
Adopting Machine Learning to Drive Revenue and Market Share
The adoption of machine learning to business processes has led to higher acceleration, growth, and adaptability than ever before. Building a successful machine learning capability, however, is dependent on a business's digital foundation from an organizational and technical perspective. Further,.
Data Science Opportunities and Challenges in Retail amidst COVID-19
COVID-19 has turned the retail and e-commerce ecosystem upside down. While some businesses have seen a drastic decrease in sales, others have experienced a boom and marched to the forefront of the very competitive industry.
#BlackoutTuesday
Data Science Salon posted a message on Monday expressing our support for our community and our commitment to equality, respect, and human rights. We are participating in #BlackoutTuesday by not posting at all. For the remainder of the week, our social media content will be focused on sharing.
Bias and Interpretability in Machine Learning
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 prominent problem in today’s world..
Leveraging Machine Learning and Open Data for Smart Cities
Based on a presentation by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility, watch the full presentation here.
What Indeed’s Job Market Data Tells Us About Trends in Data Science
Based on a presentation by Chris Lindner – Manager, Product Science at Indeed, watch the full presentation here.
Building Data Science Infrastructure
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 in an organization! Caitlin.
DSS ATX: Human & Machine Working Across the Maturing Data Lifecycle
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.
Data Science Salon Miami Speakers Speak On Major AI Trends Affecting Their Industries
In advance of the Data Science Salon taking place in Miami from September 11 to 13, we asked our speakers to shed some light on how Artificial Intelligence and Machine Learning are impacting three of America’s largest industries. Whether these data science practitioners have been working in the.
DSS NYC Speakers Weigh In On What Makes Data Effective
Marketing based on theory is no longer a viable option in global commerce. Clients base their strategies on hard facts, which are inevitably fueled by data. As a result, data scientists are high in demand at large and boutique media organizations alike and many conversations in the advertising.
