consulting: reducing risk, uncertainty, and inefficiency in data science/ML/AI

Put ML/AI to work in your business. Improve your chances of success with new products. Identify and recover stalled projects.

ML/AI can be a powerful, transformative force for your business. But it requires new knowledge, new ways of thinking, and new discipline. This might be why the vast majority of data projects never make it to production and adoption of ML/AI continues to pose a challenge.

Hello, I’m Q McCallum. I help companies reduce risk, uncertainty, and inefficiency in how they use data science/ML/AI. If your company is starting (or resetting) its data efforts, you need a trusted guide on your ML/AI journey. Let’s talk.

I’ve been in the data field since the term “Big Data” was still getting its legs. My consulting practice is built on all aspects of helping companies with their ML/AI efforts: explaining ML/AI to executives, connecting data analysis to the business model, guiding product teams, developing predictive models, and performing due diligence existing work.

Your time, effort, reputation, and money are on the line when you invest in ML/AI. You don’t have infinite tries to get it right. Work with me to increase your chances of success, while reducing your risk, uncertainty, and inefficiency.

services

Work with me to improve your chances of success while reducing strategic, operational, and ethical risks:

Starting your data journey?

Looking to change course?

About to invest?

Set yourself up for success: Empower your stakeholders and product teams with a deeper understanding of ML/AI. Develop and strengthen data literacy. Answer the question "what do we do with our data?"

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Make the most of your existing work: Evaluate your efforts to-date. Identify problems and missed opportunities. Get stalled projects back on-track.

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Get due diligence on companies you plan to acquire: Review the company's data team and their work for best practices.

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my approach

Companies often take a one-dimensional approach to ML/AI: build the team, deploy some models, done. That exposes them to unpleasant surprises that crop up later.

I take a multi-dimensional approach to explore the full picture of what happens before, during, and after developing models. My experience extends beyond the technical realm, going into the business model, product, ethics, and deployment concerns.

This approach increases your understanding of your opportunity, your risk, and your TCO. And you can make better planning decisions when you have that full picture.

If you don’t plan your ML efforts, the money you invest is just an expensive lottery ticket: highly unlikely to pay off.

my target audience

My work is best suited for companies ranging from startups to established, mid-sized operations.

next steps

Now that you know more about me and what I do, how can I help you?

Please contact me to get started.