Articles

When organizations first embark on their journey to implement data and AI governance, a common misconception is that tools are the solution. A shiny data catalogue, an advanced metadata repository, or a state-of-the-art data quality tool often becomes the goal rather than the means.

The Digital Transformation Agency (DTA) has begun testing an artificial intelligence assessment framework designed to guide government departments in evaluating their AI projects.

New guides for businesses published by the Office of the Australian Information Commissioner (OAIC) seek to articulate how Australian privacy law applies to artificial intelligence (AI) and set out the regulator’s expectations.

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner, Inc.’s annual global survey of  CIOs and technology executives, and more than 1,100 executive leaders outside of IT (CxOs). A small cohort of CIOs and CxOs, known as the “Digital Vanguard,” has the highest achievement rate, where 71% of their digital initiatives meet or exceed outcome targets.

Generative artificial intelligence (GenAI) is everywhere, and so are widespread, cross-industry discussions about how humans fit into the equation. In the world of intelligent document processing (IDP), when considering the promise of faster, scalable, more accurate processing, it’s no surprise that GenAI technology is on the forefront of everyone’s minds.

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