While AI has been used in enterprise and consumer products for decades, only large tech organizations with sufficient resources were able to implement it at scale. In the past few years, advances in ...

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 ...

DAO are changing their approach, becoming more centralized in the past year. Some organizations shut down DAO voting in favor ...

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

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 ...

There’s never been a more critical time for life sciences organizations to adopt strategies that help them strike a balance between mitigating risk and fueling innovation. AI has created a plethora of ...

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 ...

As data volumes and sources continue to expand and proliferate, a robust information governance model and process is a vital underpinning of an efficient e-discovery process. Information governance, ...

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 ...