Incorporating Artificial Intelligence (AI) across fundamental business functions is becoming a necessity for the survival of organisations. Hence, forcing companies to rely even more heavily on data to make core decisions.
Today, there is an influx of companies moving towards the next phase of AI where machine learning runs on the back of information to bolster human capabilities.
Machine Learning algorithms are dependent on the data provided. They make connections, cultivate understanding and execute decisions based on the training data provided. Therefore, the higher the quality of training data, the superior the function of the model.
Tech teams
Therefore, data intended for training algorithms needs to be augmented and labelled.
Now, if one stores a huge amount of well-structured data in the dataset, it might not necessarily be labelled to work as a training dataset for the intended model.
Continue reading: https://www.businessdailyafrica.com/bd/opinion-analysis/letters/bring-artificial-intelligence-business-life-3616716
Today, there is an influx of companies moving towards the next phase of AI where machine learning runs on the back of information to bolster human capabilities.
Machine Learning algorithms are dependent on the data provided. They make connections, cultivate understanding and execute decisions based on the training data provided. Therefore, the higher the quality of training data, the superior the function of the model.
Tech teams
Therefore, data intended for training algorithms needs to be augmented and labelled.
Now, if one stores a huge amount of well-structured data in the dataset, it might not necessarily be labelled to work as a training dataset for the intended model.
Continue reading: https://www.businessdailyafrica.com/bd/opinion-analysis/letters/bring-artificial-intelligence-business-life-3616716
