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Accelerating sustainable modernization with Green IT Analyzer on AWS

IBM Journey to AI blog

This situation triggered an auto-scaling rule set to activate at 80% CPU utilization. Due to the auto-scaling of the new EC2 instances, an additional t2.large Additionally, optimize VM sizing based on network traffic through auto-scaling. The rule provisions extra VMs to help ensure that the load on each VM remains below 60%.

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Auto-constructed data lineage : Helps visualize the flow of data through systems without the need for complex hand-coded solutions. Auto-generated audit logs : Record data interactions to understand how employees use data. DevOps and DataOps are practices that emphasize developing a collaborative culture.

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Top MLOps Tools Guide: Weights & Biases, Comet and More

Unite.AI

It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. It checks data and model quality, data drift, target drift, and regression and classification performance. What is MLOps?

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Top 25 AI Tools for Software Development in 2025

Marktechpost

TabNine TabNine is an AI-powered code auto-completion tool developed by Codota, designed to enhance coding efficiency across a variety of Integrated Development Environments (IDEs). Nonetheless, Azure DevOps remains a robust choice for enterprises seeking a scalable and efficient development environment.

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Falcon 2 11B is now available on Amazon SageMaker JumpStart

AWS Machine Learning Blog

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. The last tweet (“I love spending time with my family”) is left without a sentiment to prompt the model to generate the classification itself. His area of focus is AI for DevOps and machine learning.

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

Once the repository is ready, we build datasets using all file types with malicious and benign classifications along with other metadata. Generally, these customers are also adopting a “shift left” with DevOps. Our API-oriented service model complements this by enabling Agile development and services to prevent threats.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.