Two of a Kind: Real-Time Analytics and Machine Learning - AI Time Journal - Artificial Intelligence, Automation, Work and Business

The assessment of data systems as they actually are, as opposed to what they were previously or are predicted to be, is arguably the paragon of contemporary analytics. Coupling this capability with machine learning enables organizations to not just make the right business decisions, but to capitalize on them in real-time. Achieving this ideal requires more than streaming platforms such as Kafka. The tooling doesn't just involve the right data science models, networking capabilities, or cloud providers. At some point, it comes down to the performance of the underlying database, particularly in regards to concurrency and scale.