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
India’s artificial intelligence (AI) legislation aims to maximise social goods and economic growth, setting a unique path in the global AI landscape.
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.
The development of risk appetite statements are an important element of an organisation’s risk management strategy.
Data Quality is not always about the quality of the data.
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.
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