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iStock For machine learning to be used more widely, it needs to be brought closer to the data that fuels ML modeling and insights. For database developers and data analysts that are still getting up to speed on ML modeling, the ideal scenario is to integrate ML algorithms and training models directly into the tools they already use, making it easier for them to extract meaningful insights from their data. In-house database teams are likely to be experts in SQL, but they may not k...

Graph-Based AI Enters the Enterprise Mainstream Graph AI is becoming fundamental to anti-fraud, sentiment monitoring, market segmentation, and other applications where complex patterns must be rapidly identified. Artificial intelligence (AI) is one of the most ambitious, amorphous, and comprehensive visions in the history of automated information systems. Fundamentally, AI’s core approach is to model intelligence -- or represent knowledge -- so that it can be executed algorithmically in gener...