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Clayton Davis's Blog (8)

AI in Production: the Final Frontier

Production is often viewed as the final frontier in the machine learning process. By now, your data scientists trained a model on your data, the machine learning and software engineers incorporated that model into an application, the DevOps team configured the automation that containerizes the application for use by the rest of the…

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Added by Clayton Davis on October 27, 2021 at 10:00am — No Comments

AI Model Deployment Made Easy

Organizations using Artificial Intelligence (AI) and Machine Learning (ML) solutions face a challenging problem: deploying these capabilities into production systems. The last component of ModelOps and MLOps pipelines is the production deployment stage. This stage occurs after a model is trained and reaches a suitable level of performance and is ready…

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Added by Clayton Davis on October 13, 2021 at 6:30am — No Comments

Image Distribution

As your team invests significant time and resources developing models, it is imperative that processes are put into place to protect and maximize the return on that investment. To that end, in this installment of the ModelOps Blog Series we’ll discuss leveraging functionality provided by continuous integration/continuous deployment (CI/CD)…

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Added by Clayton Davis on September 7, 2021 at 10:30am — No Comments

Using Automated Builds in ModelOps

In this installment of the ModelOps Blog Series, we will transition from what it takes to build AI models to the process of deploying into production. Think of this as the on ramp for extracting value from your AI investments—moving your model out of the lab and into an environment where it can provide new insights for your organization or add value…

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Added by Clayton Davis on August 17, 2021 at 7:00am — No Comments

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 — 1 Comment

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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