Remove Cloud Computing Remove Data Analysis Remove Data Observability
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Data Trends for 2023

Precisely

Nearly two-thirds of data practitioners believe they are expected to make data-driven decisions, yet only 30% believe that their actions are genuinely supported by data analysis. As the drive toward data-driven business decisions continues, most executives are keenly aware of this trust gap.

DataOps 52
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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. What are application analytics?

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Detect anomalies in manufacturing data using Amazon SageMaker Canvas

AWS Machine Learning Blog

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. The predicted value indicates the expected value for our target metric based on the training data.

ML 123