Artificial Intelligence

Artificial Intelligence | News, how-tos, features, reviews, and videos

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AI: Going from sci-fi to business value requires some groundwork

AI might be hot right now, but your organization is going to have to do some groundwork first if you want to deliver value to the business. AI can advance digital transformation but before you jump all in, some initial prep and...

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Reskilling IT for the AI era

AI expertise is in short supply and high demand. Here’s how companies are filling the gap by training staff on the skills necessary to make the most of artificial intelligence.

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How health care orgs are addressing AI challenges

Health care companies are embracing artificial intelligence for everything from drug research to diagnostics, but challenges centered around privacy, data and the AI ‘black box’ remain.

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Recognizing and solving for AI bias

AI is unlocking tremendous value for businesses by solving many last-mile automation problems that previous waves of technology could not address. But just like any technology early in its evolution and application, there are a few...

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Do you have a plan for harnessing IoT data?

As things become more connected through the Internet of Things, artificial intelligence will become more powerful. But, raw IoT data alone isn’t enough to uncover the true value of AI.

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More artificial intelligence options coming to Google Cloud

At Next 2018, Google announced it is making Nvidia's Tesla P4 GPU available as a cloud service, enabling more businesses to get started with AI projects quickly.

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The outlook for machine learning in tech: ML and AI skills in high demand

Discover the latest projections for the future of machine learning in tech, including the mainstream adoption of NLP and voice-driven interactions and the rise of innovative ML/AI talent development initiatives.

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8 keys to a successful RPA implementation

Robotic process automation can reap efficiencies and free up staff time for higher-value tasks. Here’s how to do RPA right.

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Tech Talk: Machine learning and AI deciphered

Breaking through the hype around machine learning and artificial intelligence, our panel of Ken Mingis, Michael Simon and Serdar Yegulalp talk through the definitions and implications of the technology.

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How Verizon designs customer-valued chatbots

With AI fast becoming the new UI, Verizon is continually honing two customer-facing chatbots for everything from device troubleshooting to technician updates.

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Can Google demonstrate it’s ready to be serious about the enterprise?

When it comes to cloud services, Google is the ultimate tease — every year it seems it is ready to break out, and every year things continue to stay the same. One challenge the company has in getting more businesses to consider...

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How AI will revolutionize DevOps

AI’s self-learning, prediction and automation capabilities will enable accelerated development of more resilient, feature-rich applications.

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What’s disrupting supply chain and procurement?

Some innovations have already hit, others not yet. Best to be prepared.

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4 ways artificial intelligence will shape the future of learning technology

Artificial intelligence-enabled strategic themes and scenarios will be hallmarks of leading education practices.

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8 technologies driving health care M&As

Forty-eight percent of respondents to a West Monroe survey cited using technology to disrupt incumbents as one of their top drivers for making health care acquisitions. Here’s a look at what they’re buying.

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In data we trust – or do we?

AI is the engine that drives insights. Data fuels the engine. So what happens if the fuel is diluted?

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Effective artificial intelligence requires a healthy diet of data

Exploring how a solid foundation of data make AI less artificial and more intelligent.

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Top 3 practical considerations for AI adoption in the enterprise

More companies are investing in AI. However, to succeed, they need to make practical considerations for explaining its reasoning, low-data density environments, and the need for richer knowledge graphs.

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