In an era of unprecedented advancements in AI, the National Institute of Standards and Technology (NIST) has released its "strategic vision for AI," focusing on three primary goals: advancing the science of AI safety, demonstrating and disseminating AI safety practices, and supporting institutions and communities in AI safety coordination.

At the core of business management are the rules, practices and processes that define how your organization is directed, operated and controlled. This system, known as corporate governance, is aimed at creating more ethical business practices by aligning the interest of your organization’s stakeholders. In today’s business environment, the more ethical-and transparent-your organization is about its corporate governance practices, the more financially viable it will be.

A recent Gartner survey shared that, “61% of companies said their governance goals included optimizing data for business processes and productivity but only 42% of that group believed they were on track to achieve it.” Data governance is often viewed as a prohibitive, controlling, and time consuming process designed to slow down work. Traditional approaches to data governance can make it a complicated effort, detouring teams from implementing it, but it doesn’t have to be.