Tag
This paper introduces BI-Bench, the first benchmark for evaluating LLMs on end-to-end business intelligence tasks, and BI-Agent, a tool-augmented agent that decomposes workflows and uses post-training to improve accuracy significantly.
Morphic_io launches a sovereign AI platform that treats agent traces as compounding assets, capturing interactions to create structured knowledge for reuse while ensuring data ownership and integration across company tools.
Blackfrost_AI reminds AI practitioners to back up their models to prevent data loss.
A blog post from PlanetScale discusses the challenges of query planning in massive, sharded databases, aiming to educate readers on database query planners.
This thesis presents efficient and accurate systems for querying unstructured data, focusing on methods to improve data retrieval and analysis.
Manus has resumed independent operations, with the founding team continuing to lead and a focus on advancing general AI agents for users worldwide, while thanking users for their patience during the transition and providing instructions for data restoration.
Andrew Ng discusses how agentic coding is changing software engineering fundamentals and introduces an AI Engineering Skills map focusing on key competencies such as full-stack development, data management, and system architecture design.
The article argues that AI/ML strategies often fail because companies focus on technology without addressing underlying operational problems, suggesting a start with daily friction points and step-by-step building towards solutions.
The article argues that many teams are eager to implement AI agents but overlook the foundational data layer, leading to fragmented integrations and maintenance debt. It emphasizes the importance of building a unified data retrieval system first to ensure scalability and efficiency in AI projects.
Finch is a health data platform that provides a single place for managing personal health data and test results.
OpenClaw is releasing a major update on August 18, focusing on UX improvements, data management overhauls, and enhanced reliability to simplify user experience.
Supernova is a product that allows users to manage all their data across Claude and Codex AI models.
This paper introduces ISEE, an interactive system that uses LLM-based agents to assess and collaboratively enrich the semantic quality of database field descriptions, reducing cognitive load and improving downstream tasks like entity linking.
A discussion on whether LLM capability or enterprise data access and permissions is the bigger bottleneck for AI adoption, arguing that content management is becoming as critical as the models themselves.
Airtable and OpenAI have partnered to integrate Airtable directly into ChatGPT, enabling users to connect databases, generate tables, and manage data within the chat interface.
This paper proposes ASMR, an agentic framework with a Field Generation Agent and a Structural Optimizer Agent that uses reinforcement learning to automatically generate compact and informative schemas from historical ship maintenance reports, aiming to improve report completeness and consistency.
This paper introduces Agentic Data Environments, focusing on the shift from read-only agents to read-write agents that mutate environments with consequences. It discusses the value proposition of agentic automation and the asymmetry between benefits and catastrophic costs of failures.
Compendium is a new product that helps keep teams, agents, and data organized on one page, launched on Product Hunt.
Zoho Tables offers a smarter way to manage work and data.
This paper from SJTU and Tsinghua systematically evaluates 12 agent memory systems from a data management perspective, decomposing memory into four modules and providing guidelines on when to use RAG, vector databases, or knowledge graphs for long-term agent memory.