Why graph data science is the enterprise’s friend in the 2020s


The rise of graph data science as part of a data scientist’s toolbox will be central to the next decade. In its June ‘Top 10 Data and Analytics Technology Trends for 2020’ report, Gartner states, “Finding relationships in combinations of diverse data, using graph techniques at scale, will form the foundation of modern data and analytics.”

A few months after it released that statement, Gartner surveyed companies about using AI and ML techniques. There, a remarkably high 92 percent said they plan to employ graph techniques within five years. There is also a surge of academic research focused on this field, with over 28,000 peer-reviewed scientific papers about graph-powered data science published in recent years.

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