Big Data and Machine Learning appear to be the advanced buzzword answers for each issue. Sectors, for example, fraud prevention, healthcare, and sales are only a couple of the places that are thought to profit by self-learning and improving machines that can be trained on colossal datasets.
Notwithstanding, how cautiously do we examine these algorithms and research potential biases that could affect results?
Companies utilize different sorts of big data analytics to make decisions, correlations, and anticipate about their constituents or partners. The market for data is huge and developing quickly; it’s assessed to hit $100 billion before the decade’s end. (Dialani, 2021)
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