Understanding the impact of AI ethics through real-world examples is essential for building responsible AI systems. Let’s prioritise ethical considerations in AI development.
In the modern ICT environment, your approach to end-user computing needs to truly allow for anywhere, anytime, and anyhow, in a secure environment that provides your user base access to full functionality regardless of the device.
Key insights and strategies to help enterprise IT leaders successfully navigate the transition to the dynamic world of startups.
The company streamlined key applications and transitioned to virtual machines, overcoming technical debt and infrastructure challenges to improve efficiency by 60 per cent and optimise licensing by 90 per cent.
Part 2 of our practical innovation tool. Discover how to innovate in IT successfully.
Uncover the secrets to successful machine learning (ML) projects in enterprises, from avoiding common pitfalls to driving significant business value.
After nearly two years of hype, speculation, use case analysis, pilots, and scaling deployments, generative artificial intelligence in the enterprise has some results to show for the multi-billion dollar investments made by the big tech vendors. Explore success stories and key lessons from Australian enterprises.
ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
Generative artificial intelligence (AI) has delivered significant return on investment (ROI) for software development teams and is recognised as more of an opportunity than a threat. With big tech and venture capital firms continuing to invest in AI-assisted software development tools, this trend is going to accelerate. However, concerns around IP and security are not yet fully resolved.
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