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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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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. James Yi is a Senior AI/ML Partner Solutions Architect in the Emerging Technologies team at Amazon Web Services.

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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. New data warehousing architectures will act as the foundation of AI data sets, with AI and ML improving the capabilities and operations of these business intelligence solutions.

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Top Use Cases of AI in the Banking Sector

Becoming Human

AI Chatbots The banking sector has started to use AI and ML (machine learning) significantly, with chatbots being one of the most popular applications. This is where AI and ML can be extremely useful. What’s more, AI/ML can help banks protect customer data. Chatathon by Chatbot Conference Top 6 AI in Banking Use Cases 1.

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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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A beginner tale of Data Science

Becoming Human

First understand ML and DL so, in Machine learning and Deep learning we perform some mathematical operations on data and make the models, and these models help us to predict future outcomes. After understanding data science let’s discuss the second concern “ Data Science vs AI ”. So, it looks like magic but it’s not magic.