Machine Learning of the Next Decade: The Promises and the Pitfalls - DATAVERSITY

Machine Learning (ML) technology has gained rapid strides in the current enterprise software ecosystem, as it perfectly balances the ease of adoption, deployment, and market maturity with strong business benefits. On the flip side, Machine Learning technology also threatens some core elements of the human experience such as natural processes, human labor, or traditional workflows. This article explores both the positive and negative impacts of such an all-pervading movement that is rapidly engulfing the Digital Age. Although ML is helping to tackle some of the most difficult Data Management issues like explosive data volumes, the Cloud, and Big Data, it cannot and will not be able to stand on its own without suitable intervention of human decisions makers. Many experimental ML projects such as Google Car have proven such an assertion beyond any doubt.