Clayton Davis
  • Bethesda, MD
  • United States
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Profile Information

Short Bio:
I’m a technologist who likes to solve problems, and I’ve been blessed with a career that provides no end to the problems that need solving. At Modzy I oversee our AI work, leading a group of talented Data Scientists to build, evaluate, and deliver new capabilities into our platform. In my spare time I like to hack novel hardware (Raspberry Pi 4, I’m looking at you), plan the intelligentification of my house (code named don’t-tell-mom-the-house-can-hear-her), or pretend I’m still a Physicist while answering my kids’ questions about the universe.
Job Title:
Head of Data Science
C-Level/SVP/Executive Team
Job Function:
Data Scientist
Number of employees:
1 to 49
LinkedIn Profile:
Topics of Interest
Data Science, Machine Learning, Deep Learning, Business Analytics, Neural Networks, Mathematics

Clayton Davis's Blog

Model Versioning: Reduce Friction. Create Stability. Automate.

Posted on May 12, 2021 at 7:30am 0 Comments

The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on the table and experimentation is encouraged, from understanding how to frame the problem, to determining how to most effectively use the data on hand, to discovering the model…


Model Training: Our Favorite Tools in the Shed

Posted on April 15, 2021 at 12:17pm 0 Comments

Welcome to the second installment of our ModelOps blog series, where we dive deep into the next step in the ModelOps pipeline, Model Training. During Model Training, we feed large volumes of data to our model so it can learn to perform a certain task very well. This blog follows the first post in our series where we cover everything you need to know…


Maximizing Data Use and Reducing Pitfalls: Putting the Right Data Preparation Process in Place for AI

Posted on March 17, 2021 at 1:00pm 0 Comments

Welcome to the first installment in our series on ModelOps. This blog focuses on the importance of Data Gathering and Preparation in support of your AI projects and avoiding the common pitfalls.

Data is the heart of every AI investment, but data is not a monolithic concept. It comes in many different forms and sizes. For example, your data may…


Operationalizing AI – Introduction to the ModelOps Pipeline

Posted on March 3, 2021 at 5:30am 0 Comments

Artificial Intelligence (AI) is all the buzz with everyone looking for ways to leverage AI in some capacity within their organization. Whether you’re running a business focused on insurance, construction, or anything in between, the list of companies adding AI or Data Science teams to help their business succeed is growing every day. Unfortunately for…


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