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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. In this way, intelligent automation is a game-changer in the cloud computing landscape. <p>The post Artificial Intelligence in Cloud Computing first appeared on ScaleGrid.</p> </p>

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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. Examples: Siri, Alexa, Self-driving cars, Google search. Artificial General Intelligence.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum provides a powerful combination of massively parallel processing databases and advanced data analytics which allows it to create a framework for data scientists and architects to make business decisions based on data gathered by artificial intelligence and machine learning.

Big Data 321
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Modern observability is no longer optional on the path to digital transformation

Dynatrace

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. That’s why teams need a modern observability approach with artificial intelligence at its core. “We We start with data types—logs, metrics, traces, routes.

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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. Cloud-as-a-service platforms, such as Amazon Web Services, Google, and Microsoft, have made it easier to set up and manage Hadoop clusters in the cloud.

Analytics 184
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Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.