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Best of Tableau Web: October 2021

Tableau

“The mix of design with storytelling is well balanced; the story [they’re] telling is very clear and so we have charts that are easy to read … Any decisions to go off the beaten track feel like they've been made with intent,” - An excerpt from my judge’s feedback on one of the winning #Viz4ClimateAction entries. Fabricia , TAR Solutions.

Tableau 114
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Best of Tableau Web: October 2021

Tableau

An excerpt from my judge’s feedback on one of the winning #Viz4ClimateAction entries. How much do top sub-categories contribute to sales? The first and most important thing to say is how amazed and grateful I am for all who enter competitions like these. Fabricia , TAR Solutions. 4 Tips for Writing Complicated Tableau Calculations.

Tableau 96
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5 Use Cases to Leverage Large Language Models in Customer Service Interactions

Towards AI

LLMs excel at classifying emails by analyzing their content, accurately categorizing them into predefined categories such as inquiries, complaints, feedback, or technical support, streamlining customer service operations. This helps streamline the support process, enabling agents to address critical or time-sensitive inquiries promptly.

AI 90
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Transforming Enterprise Search with Generative AI

ODSC - Open Data Science

For instance, traditional search tools can struggle to capture information from a document, to a PDF, to a video clip, or a specific excerpt from a research paper. This falls into two categories: security and reliability. User experience is another area where there’s much to be desired.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning Blog

Reduce Hallucination – Retrieval reduces the risk of hallucination compared to free-form text generation because responses derive directly from the provided excerpts. The full conversation summary and new excerpts are input to the LLM to generate the next response.

AI 114
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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning Blog

In response, the Amazon Kendra index displays search outcomes, providing excerpts from pertinent documents sourced from the enterprise’s ingested data. The response from the LLM is stored in DynamoDB along with the user’s query, the timestamp, a unique identifier, and other arbitrary identifiers for the item such as question category.

AWS 94
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Simplifying Time Series Forecasting: Replicating Monsaraida’s Solution on Kaggle for Retail Volume…

ODSC - Open Data Science

This article is an excerpt from the book The Kaggle Workbook by Konrad Banachewicz and Luca Massaron, a practical workbook based on hands-on exercises that can help you start thinking like an experienced data scientist. sum() / 1024**2 for col in df.columns: col_type = df[col].dtypes dtypes if col_type in numerics: c_min = df[col].min()