Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Solving Tech Debt Unlocks 3x Digital Revenue Boost for Australia’s AI Leaders, Finds New Research

Latest research reveals technical debt blocks AI success in Australia, but cohort of leaders is overcoming it to unlock AI ...

Zhongqi Zhu Addresses Key Challenges in Vector Database and AI Technology Integration

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Why Structured Data May Be AI’s Next Enterprise Frontier

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

Endee Launches Managed Cloud for its Open-Source Vector Database with Generous Free Tier

The open-source vector database Endee.io, that is well known for its Ultra High performance with 10x lower Infra, is ...
SDxCentral

IBM and Nvidia tout content-aware storage on 100-billion vector database

In a collaboration with Nvidia and Samsung, IBM said it has demonstrated a content-aware storage (CAS) system that can hold a ...
TMCnet

Oracle AI Database Raises the Bar for Availability and Security Across Mission-Critical Workloads

Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications ...

How AI Chooses Which Brands To Recommend: From Relational Knowledge To Topical Presence

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...