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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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Bring Gen AI & LLMs to Your Data

Snowflake

To make it even easier and secure for customers to take advantage of leading LLMs, Snowpark Container Services can be used as part of a Snowflake Native App , so customers will be able to get direct access to leading LLMs via the Snowflake Marketplace and installed to run entirely in their Snowflake accounts. A win/win for both parties.

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Building a Future in Banking and Capital Markets

The Modern Data Company

Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels.

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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. Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview.

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

The four data mesh principles Fundamentally, data mesh architectures are built on four core principles: Domain-centric ownership and architecture: The teams that work within/most closely with each respective domain are responsible for its functionality and upkeep. Still, implementing this new architecture was not without its challenges.

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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.

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How to Create an Amazon Price Tracker Service Using Python?

Workfall

Guess what – we’ve cracked the code! Its elegant syntax allows developers to express ideas in fewer lines of code compared to other languages, making it beginner-friendly and efficient. With its global reach and customer-centric approach, Amazon remains a top choice for online shopping worldwide.

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