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A survey analyzing over 300,000 web feeds on the top 500k sites reveals that while feeds remain prevalent, most are abandoned or low quality due to automatic CMS generation. The author used AI agents to process Common Crawl data and calls for better feed management practices.
This paper introduces AIDA, an autonomous agent framework designed to transform fragmented enterprise data into actionable business insights by leveraging reinforcement learning and a proprietary Domain-Specific Language for SQL execution.
Bruin is an AI data agent designed to collaborate with teams, likely assisting with data analysis and automation tasks.
The author demonstrates how to collaborate using Codex, HyperFrames, and Remotion tools to produce a Chinese educational video about declassified UFO files. Additionally, it introduces a Claude Code skills repository on GitHub that automates the organization and analysis of publicly declassified UAP/UFO government documents.
Skopx is a conversational AI analytics platform that lets users ask business questions in plain English, automatically generating insights from connected data sources without SQL. It provides transparent reasoning, role-based access, and integrates with existing tools.
The author uses an AI agent to analyze 8 years of his mother's hypertension records, identifying morning surges and drug interactions that were missed during brief hospital visits, highlighting AI's role in bridging gaps in chronic care continuity.
An analysis of prediction markets like Polymarket and Kalshi, examining whether their massive trading volume actually produces valuable forecasting information or merely serves as gambling, referencing historical academic support and current data.
ggsql is an alpha-release tool that brings grammar of graphics visualization capabilities to SQL, allowing users to create structured, modular visualizations using SQL syntax across Quarto, Jupyter, Positron, and VS Code.
Machine Learning at Berkeley collaborated with LatchBio to benchmark their AI agent's performance on spatial transcriptomics workflows, evaluating its ability to automate complex bioinformatics tasks.
OpenAI Academy publishes a guide on using ChatGPT for data analysis, enabling users to upload files and ask natural language questions to explore, clean, and visualize data without requiring formula or dashboard expertise.
OpenAI has developed an internal research assistant that combines dashboards with a conversational GPT-5 interface to help teams analyze millions of support tickets and generate insights in minutes instead of weeks. The tool democratizes data analysis across teams, allowing non-technical users to ask questions in plain language and get actionable reports on product feedback, customer sentiment, and trends.
The Estée Lauder Companies developed multiple custom GPTs over 10 weeks to enhance business operations, including a Fragrance Insights GPT for analyzing consumer surveys and a Clinical Trial Data GPT for extracting skincare product effectiveness data, demonstrating practical enterprise AI adoption.
OpenAI hosted a webinar on August 8, 2024 demonstrating how employees can use ChatGPT Enterprise for data analysis and business insights.
OpenAI has introduced improvements to ChatGPT's data analysis capabilities, including direct file uploads from Google Drive and Microsoft OneDrive, interactive chart customization, and enhanced dataset handling via Python code execution.
Yabble has introduced Yabble Count, an AI tool that analyzes customer feedback by categorizing sentiments and organizing unstructured data into themes to help businesses extract actionable insights from customer input.
OpenAI data scientist Unji shows how to use ChatGPT and the data analysis plugin to turn a weekly metrics report from a 3-4 hour manual task into a scheduled workflow that automatically runs every Thursday.
GeoLibre is a free, open-source, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data, running in browsers, desktop, mobile, and Jupyter notebooks.
NVIDIA employees share experience using ChatGPT to automate data analysis workflows, reducing manual time from 40% to zero, running automatically twice a week, and scalable to global teams.
The demo showcases Codex combined with data analysis plugins as an intelligent data analyst, capable of collecting context across systems, generating business reports, and supporting real-time editing, chart adjustments, and exporting to Google Slides, providing a one-stop data analysis experience.
Codex helps Amgen employees free themselves from tedious coding, allowing them to focus on patient care and scientific quality. Through multiple small-scale AI applications dispersed across the company, it creates significant overall impact.