Although established as a best practice in information management, data quality is a relatively young discipline. Unsurprisingly, its roots began in situations where the data needing to be managed was ...

In today’s data-driven economy, reliability is the true differentiator. It’s no longer enough to deliver data; we must ...

Microsoft Data Quality Services (DQS) Review: Features & Pricing for 2023 Your email has been sent Pricing: As part of the Azure Arc-enabled SQL Server 2022 package ...

In e-commerce, the ‘Garbage In, Garbage Out’ warning for making decisions based on inaccurate data is always true. With this in mind, the dominant retail and e-commerce player in Brazil, Lojas ...

As companies create machine learning models, the operations team needs to ensure the data used for the model is of sufficient quality, a process that can be time-consuming. Bigeye (formerly Toro), an ...

Ensuring proper data quality for digital transformation initiatives lies in a two-pronged approach that emphasizes technology and human communication. As the era of Industry 4.0, with its promises of ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, ...

A new National Association of State CIOs survey of 46 states highlights the increasing recognition of the impact of AI and generative AI on data management, with 95 percent of respondents ...