Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

Industry 4.0 / Industrial IoT / Smart Factory
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Is RPA really an AI process or much less?

Does robotic process automation eliminate mundane tasks or just perpetuate a marginally productive process that should be redesigned in the first place?

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Should you tell customers they're talking to AI?

When chatbots reach the level of always passing the Turing Test, and can flawlessly pass for human with every interaction, do you disclose to users that it's AI? That's the dilemma.

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How to deploy RPA successfully

IT professionals with hands-on robotic process automation experience discuss the key factors contributing to a successful RPA deployment.

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Meet Meena: Why you'll want to hire this Google chatbot

Google reports a breakthrough in chatbot technology -- it's the perfect idea for replacing its own Google Assistant ... and search. (And read on to judge Meena's joke-telling ability.)

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Review: LogicHub expertly automates security

It’s not only highly effective at diagnosing and countering threats, but it does so in a transparent way that is configurable and editable by users.

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Is that you or a virtual you? Are chatbots too real?

There's a fine line between AI that interacts for us and AI that interacts AS us. Or is there a line at all? Will anyone care? Questions abound.

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Will Google's AI make you artificially stupid?

The biggest threat from AI isn't software that steals your job. It's software that steals your mind.

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Inside AI ebook: Artificial intelligence in the enterprise

AI is having a profound effect on enterprises. But where do you begin? A variety of tools and techniques can help you get started on your own implementation. Download our 17-page guide on real-world artificial intelligence.

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RPA and AI: Business process automation gets smart

Organizations seeking to reap the full benefits of robotic process automation are beginning to see artificial intelligence as a key technology for optimizing their process flow.

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8 factors shaping the future of big data, machine learning and AI

AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need to be aware of.

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10 ways Google's DeepMind uses AI across the globe

From helping to fight cancer to optimizing recommendations in Google Play, learn how the U.K. AI startup is making an impact around the world.

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5 reasons data science belongs in the cloud

Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go

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InfoWorld’s 2019 Technology of the Year Award winners

InfoWorld editors and reviewers recognize the year’s best software development, cloud computing, big data analytics, and machine learning tools

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Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

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How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

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How to use KNIME for data science

Free, open-source KNIME allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

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Microsoft revamps machine learning tools for Apache Spark

The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings

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Why there are no shortcuts to machine learning

As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts

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