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Machine Learning Transformed: Data Quality and Operational Necessities

July 20, 2021

Machine learning elicits mixed reactions. On the one hand, some consider machine learning a company’s new super power that has “swept enterprise technology, using mass amounts of data and algorithms to make predictions.” At the same time machine learning has been considered an overhyped fad and a panacea, failing to deliver. While both can be true, companies need to factor in machine learning to automate business.

IDC estimates that worldwide “spending on cognitive and artificial intelligence (AI) systems will reach $19.1 billion in 2020, an increase of 54.2 percent over the amount spent in 2017.

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