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Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

Following the setting of agreed assessment objectives, an analytical framework for the assessment must be defined. An analytical framework provides a structured approach to gathering and interpreting ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

Explore how data analytics and LLMs identify fairness in justice delivery by analyzing discrepancies in court judgments across India.

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference data is often poorly governed, inadequately classified and rarely backed up.

The push for incorporating data and analytics into business is widespread, and empirical evidence confirms it's not just hype. Data-driven companies are 23 times more likely to top their competitors ...