AI Development Process

FAQ on how to capture AI benefits for business

AI Development Process – Frequently Asked Questions

If you work with an AI consultant, you may have questions. Below we outline our method and how we collaborate with your team.

How do you plan an AI project?

We define the business problem we are trying to solve with AI. The modeling target is what we want to predict. We plan for a solution that is consistent with the way managers think about the industry and the value the company provides. This is how we arrive at an approach that delivers AI benefits for business.

team discussing AI benefits for business
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Discovery: Interview executives to set vision and goals

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Discovery: Interview business leaders about situation, causes, planned uses

What does an AI consultant do?

As AI consultants, we use our experience in machine learning to develop and deploy predictive models. Our background in strategy consulting helps ensure the models address business challenges.

person on laptop writing about the AI development process
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Work in sprints to make progress

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Partner with in-house data experts

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Prepare data and refine feature development

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Weekly check-ins with working team

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Add new data as it becomes available

What does AI model selection mean?

To create a final AI model, we evaluate up to a dozen algorithms. We may combine algorithms into ensembles, and apply different algorithms to subsets of the data. By the end of the AI development process, we may create hundreds of candidate models.

AI developer at computers
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Model selection: match input data structure to the modeling goals

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Iterate on modeling, data additions, model quality review

How do you manage data for AI modeling?

We ingest data into a virtual private cloud, derive new features, stage it for machine learning algorithms, and document its use in the AI development process.

data visualization helps deliver AI benefits for business
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Sample design for data pull & data processing

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Sample design for modeling, training, validation, holdout, and field tests

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Data visualization

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Develop or enhance data dictionary

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Document AI process

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Develop data notebook, experimenter’s lab book

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Use ML sandbox and secure data platform

How do you deploy an AI model?

To deploy an AI model, you have to evaluate model metrics and select the winning model. This involves tradeoffs in accuracy, relevancy, ease of implementation, and other factors.

two businesswomen talking about AI benefits for business
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Model evaluation and metrics selection

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Stakeholder check-ins

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Field testing

How can I get help with an AI project for my business?

Working with an AI consultant can help you clarify your business objectives and confirm that machine learning and AI can solve your business challenges.

End-to-end benefits of our AI development process