Artificial Intelligence
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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
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
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
Artificial intelligence predictions for 2020
Big changes in machine learning applications, tools, techniques, platforms, and standards are on the horizon
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
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...
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
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.
Why SaaS-based AI training will be a game changer
As machine learning engines multiply, we see the benefits of having them train each other, versus using limited training data we may or may not have
6 best programming languages for AI development
Which programming language should you pick for your machine learning or deep learning project? These are your best options
Handicapping the AI modeling horse race
AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government
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Technology that scares us | TECH(talk)
Drones, self-driving vehicles and intrusive tech devices have our otherwise fearless hosts on edge. Watch as IDG TECH(talk) hosts Ken Mingis and Juliet Beauchamp, plus Macworld’s Michael Simon discuss why that tech scares them and...
What surgery taught me about the cloud
In the process of fixing my shoulder, I discovered some lessons for all enterprises regarding the effective integration of information
AI gets real (sort of) in the enterprise
Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business
Artificial intelligence today: What’s hype and what’s real?
Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means
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.
Semi-supervised learning explained
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
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