Solving Explainable AI Challenges For The FICO Score

In a world where even the most basic purchases and decisions depend on credit scores, accuracy holds significant weight. Gerald Fahner, Senior Principal Scientist at FICO, explains not only how his team uses machine learning to retrieve individual’s scores across populations, but how such models.

Building a true enterprise data governance platform for the modern machine learning era

When Subash D’Souza, Director of Data Intelligence at Warner Bros, spoke to us at The Data Science Salon in New York City in September 2018, he claimed that data security is the unsexy side of data.  However, with cybersecurity programs popping up at universities all over the world paired with.

Highlights from Data Science Salon New York 2019

Last week, DSSNYC took over Viacom Headquarters in Manhattan’s Time Square with a series of talks led by the top experts in data science. While the talks covered a variety of different topics ranging from tone-recognition with AI to customer retention, the entire event was centered around how data.

DSSe Austin Panel

What do you get when you throw four talented data scientists in a room to serve on a panel about female inclusion in the data industry? We and Big Data Beard had the pleasure of finding out on February 22, 2019 at DSS Austin when we co-hosted a diversity and inclusion inspired panel.  For one.

AI will become boring – after it changes everything

In the next five years, media will be transformed by AI.  AI will probably touch all aspects of the media value chain. We’re not at the beginning of this analytics revolution - we are at the end of the beginning, and the middle is going to be marked by widespread adoption of AI technologies across.

Do women's tech groups make a difference?

The birth of tech groups dedicated to women and underrepresented minorities (URM) is part of a wave of initiatives to support, encourage and mentor underrepresented groups in the tech sector. Simply go to and you’ll see groups geared towards URM for almost any software and programming.

Data Science and Entertainment Production at Netflix

It’s nearly impossible to remember what date night looked like before the coining of the term “Netflix and Chill.”  With Netflix playing such an integral role in our daily lives, we were intrigued to hear from Jen Walraven, Manager of Science and Analytics at Netflix, on the ins and outs of the.

Analytical approaches to understanding customer retention at Hulu

 Hulu’s focus on subscriber retention and the models they’ve built to assess its implications make them an innovative player in the streaming industry.  We were delighted to hear from Jeffrey Rosenberg, Head of Data and Analytics at Hulu, about the steps that Hulu’s data science team has taken to.

Machine Learning and Finance; Defining Use Cases and Gathering Data

  “Whether you have a digital product or a physical product, product management is about owning things from end to end and helping with the ideation process, defining MVPs and working with the data scientists and engineers to get something into the market.” - Zachary Hansen Zachary Hansen Hello.

Multivariate Time Series Forecasting Using Statistical Models and Neural-Network Based Models

“A lot of people in practice talk about stationarity, but they define it very very loosely. They actually talk about stationarity as if the times don't change over time.” - Jeffrey Yau Thank you for coming. I head the data science team at Alliance Bernstein and previously different data science and.

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