The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context ...
InfoQ

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...

ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

Oracle: Perfectly Positioned For Next-Generation, AI-Focused Workloads

Founded in 1977, Oracle is now a $404 billion (by market cap) tech behemoth employing around 140,000 people. See why I rate ...
HackerNoon

AI Is Changing Schema Matching in Ways Rule-Based Systems Couldn't

Learn how LLMs are transforming schema matching through semantic reasoning while deterministic validation keeps enterprise ...
GitHub

Australian Open Banking Data Database

On 26 November 2017, the Australian Government announced the introduction of a consumer data right (CDR) in Australia. The CDR has been fully rolled out in the banking sector with energy and telco ...