Gaining Control Over AI, Machine Learning

As artificial intelligence and machine learning technologies make their way into advanced data management platforms, the emphasis for developers and data scientists is broadening to include not just deployment but “control” of the data accessed by these automation tools.

Along with the goal of completing often-tedious data science tasks in minutes and even, some claim, seconds, new enterprise tools also emphasizing greater visibility and control of the development processes underpinning AI and machine learning applications.

One such data management platform released this week by analytics startup Immuta of College Park, Md., seeks to ride the wave of AI and cognitive systems algorithms increasingly used by business to augment decision-making. The company argues that relying on these algorithms make companies more susceptible to risks ranging from critical errors to fraud.

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