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yellowfin

How to Create a Heat Grid in Yellowfin Dashboards

May 7, 2024 By Yellowfin Team In Yellowfin
Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we created a pie chart that aggregates on the basis of category. By using set analysis, we were able to represent the percentage of Books Only in the numeric display, based on the composition of the items ordered.
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snowflake

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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snowflake

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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InsightSoftware

Data Accessibility: A Hurdle Before SAP's AI Integration

May 6, 2024 By InsightSoftware In InsightSoftware
Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.
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InsightSoftware

Data Prep for AI: Get Your Oracle House in Order

May 6, 2024 By InsightSoftware In InsightSoftware
Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.
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cloudera

Get Your AI to Production Faster: Accelerators For ML Projects

May 3, 2024 By Jacob Bengtson In Cloudera
One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.
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snowflake

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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Behind The Scenes Of Snowflake Open Source LLM Arctic

May 2, 2024 By Snowflake In Snowflake
Snowflake CEO Sridhar Ramaswamy and Snowflake Head of AI Baris Gultekin join Adrien Treuille, Director of Product Management, to discuss the launch of Snowflake Arctic, the latest enterprise-grade, truly open large language model (LLM). Snowflake Arctic stands out in the competitive landscape with its exceptional efficiency and cost-effectiveness, emphasizing Snowflake's commitment to open-source development and the future of enterprise AI. Join us to explore how Arctic is set to revolutionize industries by making advanced AI more accessible and trustworthy.
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