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ChatBI: A Comprehensive and Efficient Technology for Solving the Natural Language to Business Intelligence NL2BI Task

Marktechpost

As thousands of organizations leverage Business Intelligence (BI) for decision support, industry researchers have honed in on NL2BI, a scenario where natural language is transformed into BI queries. Existing NL2SQL methods primarily handle Single-Round Dialogue (SRD) queries and struggle with MRD scenarios.

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Ivo Everts, Databricks: Enhancing open-source AI and improving data governance

AI News

” The company has introduced Databricks AI/BI , a new business intelligence product that leverages generative AI to enhance data exploration and visualisation. ” These include “standard BI features like visualisations, cross-filtering, and periodic reports without needing additional management services.”

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Breaking Down the O’Reilly 2024 Tech Trends Report

Unite.AI

Prompt Engineering and Security Concerns The landscape of AI and technology is evolving rapidly, and the O'Reilly 2024 Tech Trends Report sheds light on some intriguing new developments, particularly in the realms of prompt engineering and cybersecurity.

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Can AI Agents Transform Information Retrieval? This AI Paper Unveils Agentic Information Retrieval for Smarter, Multi-Step Interactions

Marktechpost

This allows the agent to perform problem-solving more flexibly and interactively on a wide range of tasks, including personal assistance and business intelligence, all the way to real-time decision support. That would introduce better problem-solving in many practical domains.

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Evolving Trends in Data Science: Insights from ODSC Conference Sessions from 2015 to 2024

ODSC - Open Data Science

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. The release of GPT-4 and other advanced LLMs sparked a surge in research on fine-tuning, prompt engineering, and the use of LLMs in real-world applications.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device. We provide a prompt example for feedback categorization.

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Analyze customer reviews using Amazon Bedrock

AWS Machine Learning Blog

Visualization – Generate business intelligence (BI) dashboards that display key metrics and graphs. We provide a list of reviews as context and create a prompt to generate an output with a concise summary, overall sentiment, confidence score of the sentiment, and action items from the input reviews.