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Automating Model Monitoring in MLOps: Leveraging AI to Track Performance and Detect Anomalies

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, discusses how MLOps — with its emphasis on the end-to-end life cycle of ML models — needs to prioritize automated, AI-driven model monitoring.

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The Yin and Yang of A.I. and Machine Learning: A Force of Good and Evil

Becoming Human

AI and ML Advancements Continue reading on Becoming Human: Artificial Intelligence Magazine »

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Art and Science of Image Annotation: The Tech Behind AI and Machine Learning

Becoming Human

In what ways do we understand image annotations, the underlying technology behind AI and machine learning (ML), and its importance in developing accurate and adequate AI training data for machine learning models? Overall, it shows the more data you have, the better your AI and machine learning models are.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. AI and machine learning & Cloud-based solutions may drive future outlook for data warehousing market. The amount of data being generated globally is increasing at rapid rates.

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Amazon SageMaker unveils the Cohere Command R fine-tuning model

AWS Machine Learning Blog

This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. Elon Muskn3.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning Blog

Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time. You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks.

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Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

Historically, this analysis was applied to traditional offline media channels: TV, radio, print (magazines, newspaper), out-of-home (billboards and posters), etc. Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.),