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To understand the risks posed by AI, follow the money

O'Reilly

These algorithms save everyone time and money: by helping users navigate through thousands of products to find the ones with the highest quality and the lowest price, and by expanding the market reach of suppliers through Amazon’s delivery infrastructure and immense customer network.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Resource allocation problems can be efficiently solved through a branch of mathematics called combinatorial optimization, used for example for airline scheduling or logistics problems. The second placement looks better as each CPU is given its own L1/L2 caches, and we make better use of the two L3 caches available.

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How Application of Artificial Intelligence is Transforming Business

Testsigma

Deep learning: employs artificial neural networks that keep learning constantly by processing both negative and positive data. Artificial neural networks are made to mimic the human brain. The machine uses multiple artificial neural network layers to determine and output from many inputs provided.

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Rethinking the 'production' of data

All Things Distributed

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. This starts with integrated platforms that can manage all activities, from market research to production to logistics. This pattern should be broken.

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What are microservices? An agile architecture for software development

Dynatrace

Simple network calls. The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Complexity.

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What are microservices? An agile architecture for software development

Dynatrace

Simple network calls. The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Complexity.

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The future of synthetic testing is in the cloud

Dynatrace

When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. Sound easy? Try doing that in India. Hardware was outdated.

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