The modern resurgence in AI interest has been fueled by advancements in a very specific kind of computing: machine learning. We often use artificial intelligence and machine learning interchangeably here at Emerj, but many computer scientists like to separate the two. There is (and likely always will be) a debate in the field over what exactly constitutes artificial intelligence. Some computer scientists do not consider computing capabilities AI unless they involve machine learning.

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Paul Bates explains why the future of consumerism and business optimization relies on machine learning and what role developers play in all this.

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Is AI the answer to patching all the flaws in our security systems? Or is it making IT professionals redundant? Any future-proof business must consider the applications and implications of this techno-tsunami.

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One organisation, two very different uses of AI and machine learning.

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In this special guest feature, Mark Scott, CMO at Apixio, highlights the prevalence of machine learning in everyday life and offers five ways you’re (probably) already using machine learning all without you realizing or thinking about it.

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There may be great potential for AI and machine learning to improve processes and outcomes in the banking industry in sectors ranging from lending to fraud.

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Tech teams in a variety of industries are finding new ways to apply AI and machine learning to their company.

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In the inaugural Digital Fraud Tracker, PYMNTS takes a deep dive into the world of cybercrime, exploring the latest attack methods employed by fraudsters, and the solutions security providers are using to stop them.

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Management AI types with machine learning. Through the assistance of machine learning, it’s possible to create and manage a variety of systems.

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