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Data Trends for 2023

Precisely

Read our Report Improving Data Integrity and Trust through Transparency and Enrichment Data trends for 2023 point to the need for enterprises to govern and manage data at scale, using automation and AI/ML technology. To learn more about these and other data trends, download your free copy of the IDC spotlight report.

DataOps 52
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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

Consequently, managers now oversee IT costs for their operations and engage directly in cloud computing contracts. This shift has influenced how cloud resources are designed and marketed, focusing on easy access, modularity, and straightforward deployment.

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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. For details, refer to Import data into Canvas. The sample data used is available for download as a CSV.

ML 121
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Talend Data Quality Talend Data Quality is a comprehensive data quality management tool with data profiling, cleansing, and monitoring features. With Talend, you can assess data quality, identify anomalies, and implement data cleansing processes.