Artificial Intelligence

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Microsoft speeds up PyTorch with DeepSpeed

A new open source project from Microsoft accelerates PyTorch machine learning without major code rewrites

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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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Keeping your enterprise AI expertise up to speed

AI is such a significant force, you can’t afford not to stay on top of the ever-changing developments

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How AI will improve API security

By using AI models to continuously inspect all API activity, we can fill in the cracks left by policy-based API protections

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8 misleading AI myths — and the realities behind them

With all of the hype around AI and machine learning come many factual inaccuracies. Let’s separate the truth from the fiction

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Cloud AI is like nuclear power

With incredible potential for both good and harm, AI needs worldwide regulation to ensure it isn't misused

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How to keep bias out of your AI models

AI models are empty, neutral machines. They will acquire a bias when trained with biased data

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2 cloud and AI myths you shouldn’t believe

If you think the cloud will drive data centers to extinction and that AI projects are doomed to fail, think again

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Making AI’s arcane neural networks accessible

Data scientists remain in hot demand, but they will give up more of their core functions this year and beyond to automated tools

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Is AI judging your personality?

Forget ‘surveillance capitalism.’ AI-based social media monitoring could cost you a job, college admission, rental property and more – and you’ll never know how it happened.

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Deep learning vs. machine learning: Understand the differences

Both machine learning and deep learning discover patterns in data, but they involve dramatically different techniques

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Mitigating the risks of the AI black box

If we don’t understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards

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Wanted: More types of machine learning

Now that we’re big into machine learning in the cloud, perhaps we should start thinking about how to do it better

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Artificial intelligence predictions for 2020

Big changes in machine learning applications, tools, techniques, platforms, and standards are on the horizon

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The true value of cloud-based AI isn’t what you think

Along with intelligent applications, using AI to improve automation, security, and knowledge sharing will have far-reaching benefits

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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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Machine learning and AI advancements

The hype around artificial intelligence and machine learning is giving way to real use. Join us as InfoWorld’s Serdar Yegulalp and IDG TECHtalk host Ken Mingis discuss how AI and ML have become easier to put into production, how AI...

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3 ways to kick off a devops program

Timing is everything, but so is knowing how CI/CD, IaC, and AIops can impact your business

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