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

IBM Journey to AI blog

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. They should also have access to relevant information about how data is collected, stored and used.

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Accelerating sustainable modernization with Green IT Analyzer on AWS

IBM Journey to AI blog

As carbon emissions reporting becomes common worldwide, IBM is committed to assisting its clients in making informed decisions that can help address their energy demands and associated carbon impact while reducing costs. This situation triggered an auto-scaling rule set to activate at 80% CPU utilization.

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. API Gateway calls the Lambda function to obtain the pet attributes.

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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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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. For more information, refer to Requesting a quota increase. The last tweet (“I love spending time with my family”) is left without a sentiment to prompt the model to generate the classification itself.

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

Carl Froggett, is the Chief Information Officer (CIO) of Deep Instinct , an enterprise founded on a simple premise: that deep learning , an advanced subset of AI, could be applied to cybersecurity to prevent more threats, faster. Generally, these customers are also adopting a “shift left” with DevOps.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Can you debug system information? 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.