Zach Perkel

Zach leads the Data Science and AI practice at Neal. In his role as director, Zach helps customers to develop strategies and models that weave data science and AI into core business practices. Since joining Neal in 2014, Zach has worked extensively in the areas of predictive modeling (supervised and unsupervised learning), analytics, and deep learning. Prior to joining Neal, Zach worked for eight years in the energy and high-tech manufacturing space spanning roles in research and development, product development, and strategy. Zach holds degrees in engineering and business from UC Berkeley and Georgia Tech.

Building blocks for Autonomous Systems in manufacturing applications: Perception, Actuation, and Machine Teaching
Here are the three building blocks for Autonomous Systems in manufacturing applications: Perception, Actuation, and Machine Teaching
infographic of seven steps to create a successful computer vision PoC
The 7 steps to create a successful computer vision PoC
From identifying the business goal to selecting the right cameras, these steps will help you create your next successful computer vision PoC.
predictive reliability benefits illustration
How to build a foundation for predictive reliability
Predictive reliability is a programmatic approach to maintenance that uses algorithms to detect issues. It's built with these key components.
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Top 4 things to consider when moving AI workloads to the edge
There are several advantages (and some disadvantages) in moving AI workloads to edge devices. A few tradeoffs include feasibility, cost transparency,...
AI computer vision blue eye
Deep learning in computer vision starts with data
Three keys to a good datase: quality, quantity, and variety. Here's how to build better datasets and enable your deep learning projects (with examples...
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Why you need to monitor and update your predictive models during a crisis
When things aren't "business as usual", many predictive models require a hard look to verify performance. Here are three ways you can update your mode...