Tag: artificial intelligence

5 Critical Metrics When Deciding What To Automate In AIOps

5 Critical Metrics When Deciding What To Automate In AIOps

What are the best ways to apply AIOps in your IT environment? Here are five key metrics to consider. AIOps – We automate for three benefits: to improve responsiveness, remove drudgery, and deliver consistent results. But automation has consequences, too. As you automate you’re potentially creating technical debt. The automated procedure must be kept up to…
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AI Definitions: Machine Learning vs. Deep Learning vs. Cognitive Computing vs. Robotics vs. Strong AI….

Cognitive Computing – AI comes in many forms, each at its own stage of development with its own definition, techniques and capabilities. Some forms – such as Artificial General Intelligence, AI super-intelligence or Strong AI, the kind of AI that might someday automate all work and that we might lose control of – live in the future…
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Five Ways To Create And Implement More Ethical (AI) Artificial Intelligence

With more innovation in artificial intelligence (AI), more unexpectedly dangerous uses — like the OpenAI and Amazon cases — are emerging. Each one is a good reminder to consider the ethics and implications surrounding artificial intelligence and machine learning (ML). First, it’s important to note that artificial intelligence does not, on its own, have any intention (good or bad) or the will to…
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Apple debuts Core ML 3 with on-device machine learning

Apple today introduced Core ML 3, the latest iteration of its machine learning model framework for iOS developers bringing machine intelligence to smartphone apps. Core ML 3 will for the first time be able to provide training for on-device machine learning to deliver personalized experiences with iOS apps. The ability to train multiple models with…
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What Machine Learning Needs To Learn Next?

Machine Learning – Today, consumers can buy cameras powered by artificial intelligence (AI) that recognize a person at their front door. But they don’t have anything close to a robot that can tie their shoelaces. Why? Simply put, because most machine learning algorithms available today in AI applications don’t learn very well. Thanks to a branch…
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Cloud Computing Is Awesome. But Not Always.

Cloud Computing – In aviation, being “in the clouds” is a universal flight condition referring to a pilot’s inability to see the ground. It’s also a common lament of parents about the troubling coordinates of a teenager’s head, which might seem to be “in the clouds.” In the 21st century, “in the cloud” is a reference…
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AIOps: Supporting Reliability at DevOps Speeds

AIOps looms large as a way to help push the DevOps envelope. How can organizations prepare? AIOps – As organizations journey down the path of DevOps maturation, sustainable IT operations and IT service management remains a challenge for many. Even advanced organizations that have managed to speed up deployment rates and improve software quality struggle…
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The Cybersecurity Talent Crisis: Three Ways To Think Outside The Box

Cybersecurity – After over a decade of helping growing organizations address hiring challenges and labor shortages, I know a talent crisis when I see one. The numbers are alarming: while the world has moved online, the supply of professionals to protect us hasn’t kept up.  The annual cost of cybercrime is expected to reach  $6 trillion by…
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Collective Intelligence: Where The Promise Of AIOps Is Realized

In my travels, I speak to a lot of people about artificial intelligence for operations, or AIOps. When I do, I feel I often need to dispel some common misperceptions. Most often, people will immediately latch onto the “A” of the equation, the artificial, and how it can evoke sinister images of automation run amok,…
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How the NYPD is using machine learning to spot crime patterns

Machine Learning – Civilian analysts and officers within the New York City Police Department are using a unique computational tool to spot patterns in crime data that is closing cases. A collection of machine-learning models, which the department calls Patternizr, was first deployed in December 2016, but the department only revealed the system last month…
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