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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. Our sincere thanks go out to everyone who participated in this year’s competition.

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Data News — Week 23.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. This week I discovered SQLMesh , a all-in-one data pipelines tool. In their demo you can use prompt to search over images or timeseries.

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Data News — Week 13.14

Christophe Blefari

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. This week I discovered SQLMesh , a all-in-one data pipelines tool. In their demo you can use prompt to search over images or timeseries.

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Snowflake Expands Programmability to Bolster Support for AI/ML and Streaming Pipeline Development

Snowflake

A key highlight at this year’s Summit, is all the innovation enhancing and expanding Snowpark libraries and runtimes developers can use to deploy and process your non-SQL code even easier and more secure. To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9

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Building a Future in Banking and Capital Markets

The Modern Data Company

This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels. Next, the wealth management industry is also shifting away from a product focus to a client-centric model. DataOS is the world’s first operating system.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. Can I see the pipeline? Can I see the data source?’” John agrees. “

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5 Takeaways from the Data Pipeline Automation Summit 2023

Ascend.io

Going into the Data Pipeline Automation Summit 2023, we were thrilled to connect with our customers and partners and share the innovations we’ve been working on at Ascend. The summit explored the future of data pipeline automation and the endless possibilities it presents.