Remove machine-learning-data-catalog
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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. The answer lies in the data used to train these models and how that data is derived. The answer lies in the data used to train these models and how that data is derived.

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning Blog

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. A higher coverage means Amazon Personalize recommends more of your catalog. compared to previous versions.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning Blog

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data.

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How Wayfair accelerated product tagging automation with Snorkel Flow

Snorkel AI

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. With Snorkel Flow, Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products. Manually labeling training data was prohibitively slow.

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How Wayfair accelerated product tagging automation with Snorkel Flow

Snorkel AI

Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. With Snorkel Flow, Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products. Manually labeling training data was prohibitively slow.

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The People’s Data Catalog: Alation Featured as Top Choice in Eckerson’s Latest Report

Alation

Many data catalog initiatives fail. How can prospective buyers ensure they partner with the right catalog to drive success? According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog.