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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

Flipboard

We use Amazon Neptune to visualize the customer data before and after the merge and harmonization. Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance.

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Top 5 Challenges faced by Data Scientists

Pickl AI

The following blog will discuss the familiar Data Science challenges professionals face daily. It will focus on the challenges of Data Scientists, which include data cleaning, data integration, model selection, communication and choosing the right tools and techniques.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

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