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Companies looking to use AI and machine learning on customer data could learn a thing or two from storage vendors.
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One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 class, can help. The startup helps companies create customized data sets to meet the requirem…
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Improved cognition and interaction with humans due to enhanced Natural Language Processing (NLP) capabilities will define the future of AI, leading to smarter applications, from improved spam filters to robots that can converse like humans.
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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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