Kimberly Joly

Kim is a Product Manager at Mind Foundry where she works to build products in Civil Infrastructure which deliver the most value to users and customers. With a Bachelor in Engineering from Harvey Mudd College and Masters from École Polytechnique, Kim’s focus is on the application of responsible AI to the most pressing societal problems, especially those involving the accelerating degradation of our civil infrastructure.

7 min read

Machine Learning Types and Their Infrastructure Use Cases

Kimberly Joly:

AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each is suited to solving is key to unlocking their potential in Infrastructure.

The 8-Step Guide to Deploying Machine Learning in Infrastructure

Kimberly Joly:

The adoption of AI and Machine Learning is complex, and attempting it in civil engineering can feel daunting. This guide outlines the 8 steps required to make it a success.

Responsible AI Artificial Intelligence Infrastructure

Kimberly Joly

Machine Learning Types and Their Infrastructure Use Cases

The 8-Step Guide to Deploying Machine Learning in Infrastructure

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