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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Some popular end-to-end MLOps platforms in 2023 Amazon SageMaker Amazon SageMaker provides a unified interface for data preprocessing, model training, and experimentation, allowing data scientists to collaborate and share code easily. Can you see the complete model lineage with data/models/experiments used downstream?

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

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Monitoring Machine Learning Models in Production

Heartbeat

The primary goal of model monitoring is to ensure that the model remains effective and reliable in making predictions or decisions, even as the data or environment in which it operates evolves. Model Complexity: As machine learning models become more complex, monitoring them in real-time becomes more challenging.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

My name is Erin Babinski and I’m a data scientist at Capital One, and I’m speaking today with my colleagues Bayan and Kishore. We’re here to talk to you all about data-centric AI. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

My name is Erin Babinski and I’m a data scientist at Capital One, and I’m speaking today with my colleagues Bayan and Kishore. We’re here to talk to you all about data-centric AI. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.