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ODSC West 2023 Recap in Pictures

ODSC - Open Data Science

ODSC West is now a part of our history books, and we couldn’t be happier with how everything turned out. We had our first-ever Halloween party, more book signings, exciting keynotes, and plenty of sessions to fit everyone’s needs.

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What Are The Best Third-Party Data Ingestion Tools For Snowflake?

phData

If using a network policy with Snowflake, be sure to add Fivetran’s IP address list , which will ensure Azure Data Factory (ADF) Azure Data Factory is a fully managed, serverless data integration service built by Microsoft. Source data formats can only be Parquer, JSON, or Delimited Text (CSV, TSV, etc.).

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Using Matillion Data Productivity Cloud to call APIs

phData

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Each API has its own set of requirements.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

High demand has risen from a range of sectors, including crypto mining, gaming, generic data processing, and AI. To give an idea of scale, the largest financial data feed is the consolidated US equity options feed, termed OPRA. An important part of the data pipeline is the production of features, both online and offline.

AWS 107
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Ethical Considerations and Best Practices in LLM Development 

The MLOps Blog

Think about it this way: it is easy to integrate GDPR-compliant services like ChatGPTs enterprise version or to use AI models in a law-compliant way through platforms such as Azures OpenAI offering , as providers take the necessary steps to ensure their platforms are compliant with regulations.

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Mastering Version Control for ML Models: Best Practices You Need to Know

DagsHub

For automated documentation, you can use tools like Sphinx , Jupyter Book , or MKDocs to automatically generate documentation from code comments, docstring, and notebooks. Regular backups can be done using the automated metrics that periodically copy the data and model files to remote storage such as cloud storage (eg.

ML 52
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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Activity Schema Modeling: Capturing the Customer Journey in Action Now that we’ve got our Lego blocks of customer data, let’s talk about another game-changing approach that’s shaking up the world of customer data modeling: Activity Schema Modeling. Your customer data game will never be the same.