Enterprise Applications

Hyperscience has announced a new solution that fine-tunes LLMs with ground truth documents embedded at the core of the enterprise.

The New Zealand Defence Force (NZDF) is seeking to rectify serious issues with its Information Management capabilities, issuing a tender for market feedback on options for fixing its "obsolete" systems, in three phases over five years.

A survey of nearly 700 IT professionals about their views on artificial intelligence (AI), found that despite a near-unanimous desire to adopt AI technology, very few respondents have confidence in their organization’s readiness to integrate AI, pointing to limitations in data and infrastructure and security concerns.

Instabase AI Hub Chatbots promise to address deployment challenges in environments with the most stringent security requirements. They support all unstructured knowledge (including scanned documents, handwriting, etc.), providing reliable insights using an agent framework to solve complex multi-step tasks like financial analysis, and allowing users to verify every answer with references to the source knowledge.

Contract lifecycle management (CLM) developer Sirion is acquiring Eigen Technologies, a specialist in data extraction and Document AI for financial services and insurance.

Fiona Stanley Hospital has become the first of several sites across WA’s South Metropolitan Health Service to go live with the Charm Evolution oncology information management system by Magentus.

Search AI company Elastic has published LLM Safety Assessment: The Definitive Guide on Avoiding Risk and Abuses, the latest research issued by Elastic Security Labs. The LLM Safety Assessment explores large language model (LLM) safety and provides attack mitigation best practices and suggested countermeasures for LLM abuses. 

Clayton Utz and Holding Redlich have become the first Australian law firms to adopt a generative AI solution for legal research.

The Australian Securities and Investments Commission (ASIC) has discontinued an experiment to create machine-generated summaries of public submissions using generative AI, after the results were found to be of lower quality compared to those produced by human staff.

New research revealing that while enterprises recognise the significant potential of unstructured data to enhance operational efficiency and drive meaningful insights, many are struggling to effectively leverage this resource. The survey shows that a lack of expertise and insufficient tools are major barriers, with only a small percentage of enterprises dedicating more than a quarter of their AI budget to unstructured data initiatives.

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