Monitaur Blog

Original insights and perspectives about model governance and risk management

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Life without AI governance: A wake-up call for customer-obsessed organizations

Get help with AI governance. Organizations that invest in great AI governance and align AI literacy across organizations are better equipped to use AI successfully while reducing risks.

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The easy path: Finding the balance of automation in a great governance strategy

When is "easy" too good to be true? Learn more about the fine line between automating business operations and automating their governance.

Exploring non-parametric statistics

Here is the supplement to our episode about non-parametric statistics. Learn from sample tests using Python 3.9 and popular scientific computing libraries.

Why businesses need AI standards and governance

Well-designed AI governance can increase the quality of AI systems and speed up their development while also mitigating or even avoiding risks. It increases ROI in a crucial area of technology research and development.

The organizations and roles involved in AI governance

The success of AI systems – effectiveness, safety, return on investment – depends on the right people coming together from across the business. Discover the roles that make this happen.

Machine learning: What are loss functions?

Learn about loss functions and how machine learning models are constructed and "trained".

MLOps monitoring isn't necessarily model governance

A common area of confusion in data science is how monitoring and governance are related to one another. Let's explore what is missing from MLOps monitoring that is essential for model governance.

What is Systems Engineering?

As a model builder, ask yourself, "What exactly is systems engineering, and how does it apply to my life as an AI practitioner?"

Evaluating synthetic data and its quality for AI use cases

Learn more about synthetic data, what it is, where it is useful, and where it can be harmful. Here are tips to assess the quality of synthetic data for your AI use cases.

Generative AI governance: A tale of two models

As the public becomes more aware of generative AI models, thanks in part to tools like OpenAI's ChatGPT, there has been a surge of fear and concern regarding AI regulation and governance. In this article, we put that fear into context and offer actionable steps toward governance, drawing from historical lessons.