Tag
A solution that enables AI agents to safely access and use production data without granting direct database access, enhancing security and control.
Tobi Lütke used Claude to read MRI scan data from a USB drive and had it generate an HTML-based viewer, which worked better than the commercial Windows software.
The article explores constructing the slowest possible data access pattern for summing integers in an array by exploiting CPU cache behavior, demonstrating that a carefully crafted pattern can be over 30% slower than randomized access.
The author argues that AI analysis quality is limited more by data access and reliability than by reasoning, and that structured datasets dramatically improve outputs.
DisasterLex introduces a knowledge-graph-mediated framework that improves text-to-SQL for disaster analytics by using an expert knowledge graph with causal edges to constrain schema and guide query planning, outperforming state-of-the-art baselines.
The article discusses challenges in implementing role-based access control (RBAC) for an internal BI agent using LLM, addressing concerns about data leakage and write permissions for operational workflows.
The article argues that in 2026, the key differentiator for AI value is not model capability but data access through integration protocols like MCP, which connect models to real business data such as CRMs and accounting software, making connected workflows more important than benchmark scores.
Amnesty reports that Palantir and other contractors were given unlimited access to identifiable NHS England patient information, raising privacy concerns.
The article discusses the governance challenges that arise when AI agents interact with real company data and tools, highlighting the need for policy enforcement and audit trails, and mentions Trust3 AI as a potential solution.
Palantir is reportedly set to receive unrestricted access to UK National Health Service patient data, raising significant questions about data privacy and the role of private tech firms in public healthcare infrastructure.
Katzilla is a product designed to provide easy government data access for citizens, optimized for AI consumption.
This article describes how sales teams can use OpenAI's Codex to quickly retrieve customer data and build demos, significantly reducing wait times and improving customer engagement efficiency.