Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...

Derek Steer is co-founder and CEO of Mode Analytics, the most collaborative platform for business intelligence and interactive data science. Good data governance requires meeting security and ...

In recent years, data generation has increased exponentially with no signs of slowing. In 2020, we generated an estimated 2.5 quintillion bytes of new data daily, and it has been estimated that 90% of ...

Data governance is the process of managing the availability, usability, integrity, and security of an organization’s data. Effective data governance requires a structured approach that covers data ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As the architecture, engineering and construction (AEC) industry is ...

Drafted by the SaaS Governance Working Group, the paper provides a baseline set of SaaS governance best practices for protecting data within SaaS environments, enumerates and considers risks according ...

About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

SAN DIEGO--(BUSINESS WIRE)--SqlDBM is happy to announce a new partnership with DataQG, a data governance resource platform driven by community. As a leading partner with a disruptive approach working ...

In an increasingly complex regulatory environment, effective data governance is essential for maintaining compliance and operational efficiency. This session will provide a deep dive into fundamental ...

Data governance plays a vital role in the entertainment industry, helping companies that apply best practices overcome challenges and strengthen risk management. The entertainment sector is one of the ...

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 ...

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.