AI Core Technologies

Most AI deployments today get stuck somewhere between proof of concept and pilot purgatory. Tredence, a data science and AI consultancy, wants to change that—and fast. The company just released its Agentic AI Playbook, a strategic guide aimed at Chief Data & Analytics Officers (CDAOs) and AI leaders looking to scale artificial intelligence beyond experiments and into enterprise-wide operations.

Confluent, Inc., the data streaming pioneer, today released findings from its fourth annual Data Streaming Report, which surveyed 4,175 IT leaders across 12 countries, including 225 from Australia. The results make it clear that data streaming platforms (DSPs) are no longer optional; they are critical to artificial intelligence (AI) success and broader business transformation. A majority of Australian IT leaders (85%) believe data streaming platforms will increasingly be used to feed AI systems with real-time, up to date, contextual and trustworthy data — key requirements for real-time AI applications. 

fileAI, a leader in AI-powered workflow automation, today announced the launch of its V2 platform, a next-generation solution built to help enterprises and SMBs access, collect, and structure business-critical data trapped in fragmented formats and siloed systems.

Contify, a leader in AI-native Market and Competitive Intelligence (M&CI), has officially launched Athena, its proprietary Agentic AI insights engine. Purpose-built for enterprise intelligence teams, Athena automates the traditionally manual, time-consuming tasks of monitoring, analyzing, and synthesizing market and competitor updates, enabling faster and more confident decision-making.

Bright Data—the company already powering 100+ million daily AI agent actions—is upping the ante. Today, it announced a new suite of AI-powered tools designed to solve one of the thorniest problems in modern AI: reliable, real-time access to the open web. The centerpiece is Deep Lookup (Beta), a natural language research engine designed to help large language models (LLMs) and autonomous agents answer complex, multilayered questions with structured, cited, and actionable results.