The no-code approach has changed the nature of software development. However, if you're in IT, the idea of no-code apps being written without the involvement of professional developers may trigger ...

For some industries, the use of AI and machine learning models is novel, but several industries—consumer finance and insurance in particular—have been building, using and governing models for decades.

Building and deploying strong, robust artificial intelligence (AI) and machine learning (ML) models is complex and challenging work. If you are like many data science and machine learning leaders that ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding ...

The openness to tap into the power of generative AI will likely continue to grow with an estimated $15.7 trillion dollars of potential contribution to the global economy by 2030, according to PwC’s ...

Recording the model development process on the blockchain can make that process more structured, transparent, and repeatable, resulting in less bias and more accountability. The past few years have ...

Editor’s note: This is the third article in a series. For a series overview and links to previous articles, see the sidebar, “Building a Better Firm.” At James Moore & Co., firm leaders first began ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare ...