Pandata Blog

Approachable, Ethical, Human-Centered AI

machine learning
What Can I Expect From the Future of Machine Learning?

What Can I Expect From the Future of Machine Learning? Machine learning has come a long way since the 1952 introduction of the first computer learning program. In 1980, data scientists created Explanation Based Learning, where a computer could create

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

HolidAI Greetings – Making Spirits…Weird

Back by popular demand – our HolidAI Greeting Card Generator has a fresh look, along with updated images and messages for the 2019 holiday season! And to be honest, it’s gotten even weirder. Machine learning and AI can be confusing

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

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

Perception Intelligence: Unraveling the Customer Feedback Conundrum

The CEO of a fortune five hundred firm found that the feedback her organization was receiving from top customers was negative. Metrics from their customer satisfaction surveys would indicate the opposite. It turns out, some customer service reps were selectively

Demystifying Deep Learning

By: Hannah Arnson These days, we frequently hear about “artificial intelligence” (AI), “neural networks,” and “deep learning.” The media presents these techniques as black boxes that can revolutionize, or destroy, society. At Pandata, we use AI (and neural networks &