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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Further, not every business uses AI in the same way or for the same reasons.

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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.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

French companies are using AWS to innovate in a secure way across industries as diverse as energy, financial services, manufacturing, media, pharmaceuticals and health sciences, retail, and more. We have also been investing in helping to grow the entire French IT community with training, education, and certification programs.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Greenplum Advantages.

Big Data 321
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 166
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

in ML and neural networks) and access to vast amounts of data. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. We are in the early days of machine learning and artificial intelligence.

AWS 165