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Standards Australia, the peak standards-setting organisation for Australia, has released its first discussion paper on how it should approach standards building for AI. Standards Australia is accepting public submissions until 31 July on the role it should play in shaping standards for AI both nationally and globally.

Enterprise content management (ECM) has been with us for almost 20 years now. In an ideal world, one could argue that this longevity has given us a deep understanding of how to manage content within an organization. The reality however is quite different.

The past few years have shown a remarkable transformation in the document capture and data extraction market. With the rise of Robotic Process Automation (RPA), and the desire to automate labor-heavy, document-centric workflows, document capture and data extraction applications have had to morph to meet a broad variety of needs. Here are a few observations from my daily interactions with partners and customers, and a few trends that are transforming the market.

In collaboration with the US National Archives and Records Administration (NARA), the Library of Congress and others, the PDF Association will participate in an Andrew W. Mellon Foundation project to identify the essential characteristics and optimal functional requirements of email messages and necessary related information in a PDF technology-based archive. Running over six months, the project's objective is to publish a technical white paper defining how email messages and their identified essential characteristics and functionality should be converted into PDF containers that can be considered - in the context of captured information - provably authentic and complete email records.

On average, more than half of all data within organizations (52 percent) remains unclassified or untagged, according to a global survey commissioned by Veritas Technologies. The survey of 1,500 IT decision makers and data managers across 15 countries found that that companies have limited or no visibility over vast volumes of potentially business-critical data.

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