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In the trending landscape of Machine Learning and AI, companies are tirelessly innovating to deliver cutting-edge solutions for their customers. To illustrate these tools/frameworks and their importance, let us consider a scenario within the fintech industry.
Their work produces higher-quality code and enables faster innovation, while maintaining high security standards. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. It’s highly scalable and ideal for real-time analytics and high-speed logging.
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