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How Application of Artificial Intelligence is Transforming Business

Testsigma

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence. How does Artificial Intelligence Work?

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IT automation: An AIOps guide

Dynatrace

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. More details can be found in their recent talk in Scaled Machine Learning in March 2018.

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Rising Tide Rents and Robber Baron Rents

O'Reilly

Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” These are all astonishing tools for making our limited capacity for attention more efficient.

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Planning for Responsive Images

CSS - Tricks

That way, the number of obscure edge cases can be reduced and the images can be handled as efficiently as possible. Another strategy for handling dynamic images is to crop them intelligently to avoid deleting important content and refocus on (or re-center) the primary content. First, identify the sources of the images.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. By 2018, CARASSO is expected to process data collected by a fleet of 100,000 vehicles traveling more than eight billion kilometers.

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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

There are several emerging data trends that will define the future of ETL in 2018. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. More details on this approach.