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Data Quality: Why The Right Strategy Requires High Quality Data

Every organization is obsessing about the amazing abilities of Generative Artificial Intelligence and everything that’s going to come out of language learning models (LLMs). However, most organizations are yet to make the most of their current data. Data quality in most organizations is low as the input points of data have not been upscaled.

Thus, companies are processing and modelling on low quality data. For organizations that seek to make ground and utilize the Artificial Intelligence unlocks, they must go back to the fundamentals. First, the gearing towards high quality data. Data quality should be a strategy of every firm.

Most manufacturing companies in Uganda process lots of data, high volumes of it, but most also suffer from the same problem – low quality data. Data quality should be the essence of any artificial intelligence project. The old rule still olds- GIGO- Garbage In, Garbage Out.