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Accelerate Your Time Series Analytics with Snowflake's ASOF JOIN, Now Generally Available

May 13, 2024 By Yogitha Chilukuri In Snowflake
Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.
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Demo | Snowflake Data Clean Rooms

May 10, 2024 By Snowflake In Snowflake
In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace.
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Snowflake Cortex LLM Functions Moves to General Availability with New LLMs, Improved Retrieval and Enhanced AI Safety

May 7, 2024 By Arun Agarwal In Snowflake
Snowflake Cortex is a fully-managed service that enables access to industry-leading large language models (LLMs) is now generally available. You can use these LLMs in select regions directly via LLM Functions on Cortex so you can bring generative AI securely to your governed data. Your team can focus on building AI applications, while we handle model optimization and GPU infrastructure to deliver cost-effective performance.
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How Healthcare and Life Sciences Organizations Are Accelerating Data, Apps and AI Strategy in the Data Cloud

May 7, 2024 By Snowflake In Snowflake
Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024.
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Reimagine Batch and Streaming Data Pipelines with Dynamic Tables, Now Generally Available

May 6, 2024 By Saras Nowak In Snowflake
Since Snowflake’s Dynamic Tables went into preview, we have worked with hundreds of customers to understand the challenges they faced producing high-quality data quickly and at scale. The No. 1 pain point: Data pipelines are becoming increasingly complex. This rising complexity is a result of myriad factors.
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Better See and Control Your Snowflake Spend with the Cost Management Interface, Now Generally Available

May 6, 2024 By Shruti Anand In Snowflake
Snowflake is dedicated to providing customers with intuitive solutions that streamline their operations and drive success. As part of our ongoing commitment to helping customers in this way, we’re introducing updates to the Cost Management Interface to make managing Snowflake spend easier at an organization level and accessible to more roles.
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Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

May 2, 2024 By Snowflake AI Research In Snowflake
The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.
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A Look At Gurucul's Threat Detection, Investigation, And Response Platform

May 2, 2024 By Snowflake In Snowflake
In this episode of "Powered by Snowflake, host Julian Forero chats with Nilesh Dherange, Co-founder and CTO of Gurucul, about data, cybersecurity, and machine learning in the context of Gurucul's threat detection, investigation, and response platform. Founded in 2010, Gurucul's mission has always been to bring together different silos of cybersecurity data. In this conversation, Nilesh provides an in-depth demo showing how the platform works, while explaining how its capabilities have advanced over time through the use of machine learning models and the adoption of Snowflake as one of its supported data lakes.
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