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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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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

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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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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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Simplifying data modeling and schema generation in BigQuery using multi-modal LLMs

May 4, 2024 By Adam Paternostro In Google BigQuery

Watch how to use a multimodal LLM such as Gemini to analyze data in a BigQuery data lake and automatically generate schema layouts.

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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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Cloudera

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Snowflake: Optimize performance with data observability

May 2, 2024 By Unravel In Unravel

Right now, 55% of companies surveyed are failing to achieve time to value with their data and AI investments. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with Snowflake. Watch this 15 minute live event about optimizing performance with data observability with Clinton Ford, VP of Product Marketing at Unravel and Eric Chu, VP of Product at Unravel.

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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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