Taylor Rose

3 weeks ago | builtinnyc.com | Taylor Rose

AI is moving at a pace that leaves Moore’s Law — the idea that computing power doubles about every two years — in the dust. And many believe that the potential for some of humanity's biggest milestones are just around the corner with AI capabilities that have emerged in only the last year. Take the robot made by Amazon that can now physically feel items that it picks up due to AI. Or the OpenAI large language model that passed the 73 percent of the time.

3 weeks ago | builtin.com | Taylor Rose

When dev teams build new AI tools, products and platforms, they are faced with a unique challenge: How do you build the latest in AI when the field is rapidly changing every day? It’s a little like trying to write a book while learning a new language and that language’s dictionary is doubling every three months. So, we asked a handful of AI leaders how they're doing it. According to Justworks’ Associate AI Product Manager Willy John VanSickle III, it’s all about teaching one another.

3 weeks ago | builtin.com | Taylor Rose

Explore the product innovations behind Fluent’s triple-digit commerce media solutions growth. Published on May. 15, 2025 When you click on a post-purchase ad, it might have been Soon Mi Dickson, a senior data scientist, who helped build the tech that predicted you would. Dickson works on the data science team at Fluent, a commerce media solutions provider that connects brands with consumers.

3 weeks ago | builtinnyc.com | Taylor Rose

When you click on a post-purchase ad, it might have been Soon Mi Dickson, a senior data scientist, who helped build the tech that predicted you would. Dickson works on the data science team at Fluent, a commerce media solutions provider that connects brands with consumers.  “My role focuses on model development — primarily the click model that predicts the likelihood of a user clicking on an ad,” Dickson said. Dickson often works to implement feature pipelines and test models.

3 weeks ago | builtinnyc.com | Taylor Rose

As a software company that specializes in collaboration tools for software development and project management, it makes sense that  Atlassian cites ‘making sure every voice is heard’ as a core tenet of their team culture. Their team of data scientists, however, take this principle one step further by always making sure the user’s voice is heard — through data.