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responsible machine learning
How To Cultivate a Responsible Machine Learning Culture in Your Organization

How To Cultivate a Responsible Machine Learning Culture in Your Organization Even though we’ve come a long way in improving the accuracy and integrity of AI, it’s still far from perfect. If no one is responsible for your AI, how

How to Identify AI Communication Gaps and Avoid Project Failure [ODSC West Insights]

How to Identify AI Communication Gaps and Avoid Project Failure [ODSC West Insights] 12% of AI projects actually reach production and yield business results.  Why is that? The landscape of AI has exploded in complexity and as a result, the

machine learning
Artificial Intelligence vs. Machine Learning vs. Deep Learning: What’s the Difference? 

Artificial Intelligence vs. Machine Learning vs. Deep Learning: What’s the Difference?  What is the difference between artificial intelligence, machine learning, and deep learning? How are they different? How are they similar? There are a slew of terms and jargon within

Marketing AI
A Marketer’s Journey Through the Land of AI: ML + A/B = Awesome, Entry 4.

A Marketer’s Journey Through the Land of AI – Entry 5, ML + A/B = Awesome Entry 4. In the last entry we talked about bias in AI, and the ways that humans in the mix can both help and

How Social Science & the Humanities + Data Science = More Ethical AI

As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)?  How do we even recognize when those dilemmas emerge before they become public relations catastrophes?   Humanities and social

AI as the Artist’s Muse

What happens when a classically trained painter and an A.I. muse come together to create a work of art? Chris Peters, a Los Angeles-based artist, filmmaker, and former software engineer, began to find out with his latest project, “Tensor Dream.”

Pandata Case Study: Cleveland Museum of Art – Open Access

The Cleveland Museum of Art is a world-renowned art museum with a substantial collection of over 61,000 artworks. In January of 2019, they launched their Open Access Initiative in which they made over 30,000 public domain works and metadata for

Sifting Through the Noise: Data Science Buzzwords

Call it Machine Learning or Artificial Intelligence, the goal is to solve problems using data.  Solving problems using data is the driving force behind data science.  Everything else is just a weapon in our arsenal.  Yet, we see the buzzwords

Data Science as a Team Sport

By Hannah Arnson & Joseph Homrocky   Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics, statistics, hardware, and software, each

Pandata Case Study – Midwest Industrial Supply

Midwest Industrial Supply Case Study – September 26, 2018 Midwest Industrial Supply specializes in environmentally friendly dust control applications, operating out of a series of regional satellite offices. When pricing a new spray opportunity, the sales team is incentivized to