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The Consumerization of Artificial Intelligence

Bill Schmarzo - Dell EMC

Doctors can effectively treat patients without a high performance computer or an expensive technology environment. Apple Core ML in the iPhone is an example of how industry leaders are seamlessly embedding powerful machine learning, deep learning, and artificial intelligence frameworks into their development and operating platforms.

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Why Are Businesses Opting for Edge, AI, and IoT – and Are They Wise to Do So?

ARMA International

Edge computing is increasingly associated with at least two “trending” terms in the IT and information arenas: Internet of Things (IoT) and artificial intelligence (AI). Broadly speaking, the term refers to computing that’s done at or near the source of the data. back to the enterprise.”.

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STEPS FORWARD: Math geniuses strive to make a pivotal advance — by obfuscating software code

The Last Watchdog

Related: How Multi Party Computation is disrupting encrypti on An accomplished violinist, Einstein, no doubt, appreciated the symmetry of his metaphor. And the risk factors will only rise exponentially as reliance on cloud infrastructure and Internet of Things (IoT) systems accelerates.

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What is smart transportation?

IBM Big Data Hub

The rise of interconnected technologies like the Internet of Things (IoT), electric vehicles, geolocation and mobile technology have made it possible to orchestrate how people and goods flow from one place to another, especially in densely-packed urban areas. But several disparate technologies do not make an intelligent transportation system.

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What IG Professionals Should Know About the Internet of Bodies

ARMA International

According to futurist Bernard Marr, [2] “The Internet of Bodies (IoB) is an extension of the IoT (Internet of Things) and basically connects the human body to a network through devices that are ingested, implanted, or connected to the body in some way. Body-external devices (“wearables”). These devices can take many forms.

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AI, Records, and Accountability

ARMA International

Artificial intelligence (AI) promises wide-ranging benefits for society, but it also poses a host of ethical challenges, such as racial and gender bias, liability for harms caused by AI systems, inequality, economic dislocation, and others. A printed version of the special issue will be available as well, for a nominal fee.

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Big Data Hub

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. In 2017, 94% of hospitals used electronic clinical data from their EHR.