Key building blocks for applying artificial intelligence in enterprise applications are data analytics, data science and machine learning, including its deep learning subset. Data engineering also plays an important role.

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According to Gartner, organizations and data scientists rely on data science and machine learning platforms to build and deploy data science models using

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The accuracy and reproducibility of scientific discoveries made with machine-learning techniques should be questioned by scientists until systems can be developed that effectively critique themselves.

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All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes

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More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

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An impressive new language AI writes product reviews and news articles. Its creators are worried about misuse.

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How to stay realistic with data science, today’s leading data science tools, and how Twitter data is applied to research.

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Learn to draw powerful conclusions from mountains of raw data

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Data science is experiencing significant growth. It is imperative that universities train graduates who can work in this expanding field.

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