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Exponential Risk: Why AI/ML Projects are Different
There are two important take aways from this article: If an algorithm is part of your project, you need us on your team to get it right....
Lauren Frazell
Aug 183 min read
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A Mindset for Data Privacy and Ethical Compliance
There is a simple mindset shift that ensures you are on the right side of compliance. Remember that the data you are using belongs to the...
Lauren Frazell
Aug 184 min read
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What we are all about
Our Purpose: We specialize in strategic preparation for AI and ML projects because we know what it takes to get it right and how much is...
Lauren Frazell
Aug 182 min read
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HSD's Origin Story
Envisioning a new leadership role in data, AI and ML The Problem: AI/ML projects are estimated to fail 85% of the time. Our Perspective:...
Lauren Frazell
Aug 184 min read
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Managing Complexity: Clarity in Roles
Managing through the growing complexity of AI/ML projects is an essential component to gaining clarity and making better project choices....
Lauren Frazell
Aug 192 min read
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Data Readiness
Unfit data is the biggest contributor to failed and underperforming projects. It’s more than just making sure it is clean and accurate,...
Lauren Frazell
Aug 181 min read
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Prepare for Paradigms to Shift
Transformation isn’t about technology (or even data). It’s about how people use the technology to accomplish things they couldn’t before....
Lauren Frazell
Aug 182 min read
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Hitting the Wrong Target
The importance of choosing the best problem to solve (use case). A specific and intentional use case that fully aligns to profitability...
Lauren Frazell
Aug 181 min read
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The Weak Spots
There are two types of value drain: Unexpected Cost: development and compliance side. Missed Potential: business and strategy readiness...
Lauren Frazell
Aug 181 min read
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