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Clayton Davis's Blog (4)

Model Versioning: Reduce Friction. Create Stability. Automate.

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…

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Added by Clayton Davis on May 12, 2021 at 7:30am — No Comments

Model Training: Our Favorite Tools in the Shed

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…

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Added by Clayton Davis on April 15, 2021 at 12:17pm — No Comments

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

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…

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Added by Clayton Davis on March 17, 2021 at 1:00pm — No Comments

Operationalizing AI – Introduction to the ModelOps Pipeline

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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Added by Clayton Davis on March 3, 2021 at 5:30am — No Comments

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