Learn how Salesforce’s acquisition of Own Company is revolutionising data protection strategies and compliance measures for organisations.
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.
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.
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.
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.
To present AI effectively to the board, emphasise its role in augmenting rather than replacing existing capabilities.
