As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

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 ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience. Data is the lifeblood of an organization. Customers and employees ...

The COVID crisis has shown that ethical and effective uses of data and increased sharing of data can save lives and can be critical for society as a whole (by contrast to the use of data made by ...

Collect information and ask questions later has become the mantra of organizations everywhere. The National Security Agency records something like 3 billion phone calls every day, along with emails, ...

Executives have an important and ongoing role of setting organizational cultural tone, especially as enterprises embark on various efforts to gain more value from data. Culture has a large role in ...

It might seem counterintuitive to make use of a technology that’s often questioned for its reliability to enhance data governance in an organisation. However, when skilled data engineers harness ...

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 ...

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