Good artificial intelligence (AI) governance goes beyond data governance in multimodal large language models (LLMs). It isn’t just about avoiding pitfalls – it’s about unlocking the full potential of this transformative technology.
Traditional risk management approaches are no longer sufficient to manage risks in an increasing dynamic and complex business landscape. Implementing a dynamic risk management approach and associated systems presents opportunities, but also poses significant organisational challenges.
By implementing a home-grown solution, the company was able to slash dosing errors and enhance efficiency
The Australian Government, through the Digital Transformation Agency (DTA), has issued its digital vision for 2030. How can your organisation use this strategy to best effect?
Explore a comprehensive platform for artificial intelligence (AI) development with Azure AI Studio.
Understanding the ethical landscape of artificial intelligence (AI) models is key for responsible deployment.
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.
