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Azure Cosmos DB tutorial for KronoGraph & KeyLines

Cambridge Intelligence

This Azure Cosmos DB tutorial shows you how to integrate Microsoft’s multi-model database service with our graph and timeline visualization SDKs to build an interactive graph application. There’s support for MongoDB, PostgreSQL, Apache Cassandra, Apache Gremlin, and Tables, and our data visualization toolkits work with all of them.

Azure 64
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Citus 12: Schema-based sharding for PostgreSQL

Hacker News

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? And if you want to see demos of some of this functionality, be sure to join us for the livestream of the Citus 12.0 Updates page. Let’s dive in!

Database 123
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How AI-powered claims processing creates new efficiencies in insurance

Snorkel AI

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training datamodels are likely to make errors and produce inaccurate results. Book a demo today.

AI 64
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How AI-powered claims processing creates new efficiencies in insurance

Snorkel AI

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training datamodels are likely to make errors and produce inaccurate results. Book a demo today.

AI 59
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5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. Finally, cloud services.

SQL 98
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How AI-powered claims processing creates new efficiencies in insurance

Snorkel AI

Claims data is often noisy, unstructured, and multi-modal. Manually aligning and labeling this data is laborious and expensive, but—without high-quality representative training datamodels are likely to make errors and produce inaccurate results. Book a demo today. See what Snorkel option is right for you.

AI 52
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale. Model versioning, lineage, and packaging : Can you version and reproduce models and experiments?