Artificial intelligence (AI) technologies power innovative applications that speed processes, personalize experiences, and unlock insights from vast data sets. AI is the science and engineering of applications that can perform tasks that typically require human intelligence, like problem solving, learning, perception, and reasoning. A subset of AI, machine learning (ML) uses algorithms and statistical models trained on massive data sets to make predictions or decisions without being explicitly programmed.
AI and ML are key tools for enterprise technology leaders who want to generate business benefits. Many organizations start by creating their own AI platform using open source projects like Jupyter, PyTorch, and Kubeflow. While this approach lets teams work close to the innovation happening in communities like Open Data Hub, it also requires larger teams and more effort to test, modify, and integrate these projects together.
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