In today’s business climate, organizations must readily adapt to change and uncertainty. Data-driven automation, in the form of machine learning and artificial intelligence (AI), is necessary for today’s enterprises to both survive and thrive.
Data landscapes are shifting towards AI-infused automation – and organizations can’t afford to fall behind fast-moving competitors. Graph platforms expose and express relationships between data points. In many cases, they enable support for generating supplemental connections through inferences and algorithmically produced data linkages. This whitepaper will look at how semantic graph platforms are uniquely well-suited for data science projects.
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