Articles

Generative AI, in the form of image generators like DALL-E, Midjourney and Stable Diffusion, and text generators like Bard, ChatGPT, Chinchilla and LLaMA, has exploded in the public sphere. By combining clever machine-learning algorithms with billions of pieces of human-generated content, these systems can do anything from create an eerily realistic image from a caption, synthesize a speech in President Joe Biden’s voice, replace one person’s likeness with another in a video, or write a coherent 800-word op-ed from a title prompt.

Anyone in Australia or New Zealand who has applied or received finance from Latitude Financial over the past seven years may have their identity documents compromised, according to an update on the major data breach revealed on March 16.

By now, we’re all familiar with the promises of automation: efficiency gains, relief from talent shortages, greater efficiency, and increased margins. Sounds like a no-brainer, but if that were true, there wouldn’t still be so many organizations that have not automated all or any of their processes. But why the ongoing hesitation?

An initial analysis of ChatGPT4 by Check Point Research (CPR),  the research arm of Check Point Technologies, has suggested the tool could be used to streamline development of Cyber Attacks and deliver them with more precision.

A global survey by Nutanix looked to measure enterprise progress with cloud adoption. It found that IT infrastructure is increasingly diverse with organisations challenged with integrating data management and control. The research showed that the majority of IT teams leverage more than one IT infrastructure, a trend that’s expected to intensify in the future, but struggle with visibility of data across environments with only 40% reporting complete visibility into where their data resides.

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