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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Data characteristics and preprocessing AIOps tools handle a range of data sources and types, including system logs, performance metrics, network data and application events. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

Big Data 106
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Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics

AWS Machine Learning Blog

Prerequisites If you would like to implement all or some of the tasks described in this post, you need an AWS account with access to SageMaker Canvas. Indrajit is an AWS Enterprise Sr. He designs modern application architectures based on microservices, serverless, APIs, and event-driven patterns. Solutions Architect.

ML 98
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Data Integrity Trends for 2024

Precisely

AWS Mainframe Modernization Data Replication with Precisely (for mainframe and IBM i systems) enables organizations to break down data silos and provide real-time access to these complex data sources on the AWS cloud, where it can be used for analytics, AI, DevOps initiatives, and new applications.

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phData Awarded Snowflake 2025 Partner of the Year

phData

This prestigious award was presented live at the 2025 Snowflake Summit event in San Francisco, California. We take great pride in our 98 percent average renewal rate for phData Elastic Operations Managed Service, DataOps, and MLOps, and ensure every client is successful. Why Does phData Keep Winning Snowflake Partner of the Year?

AI 52