Latest Advisory
AI Explainability: More Than Trust
AI explainability goes beyond trust, fostering human oversight, collaboration, and control, especially for high-stakes decisions and system maintenance.
AI Explainability: More Than Trust
AI explainability goes beyond trust, fostering human oversight, collaboration, and control, especially for high-stakes decisions and system maintenance.
Practical Innovation – How IBRS Research Can Help You On The Journey – Part 2
Part 2 of our practical innovation tool. Discover how to innovate in IT successfully.
Failure Causes and Success Factors in Enterprise Machine Learning
Uncover the secrets to successful machine learning (ML) projects in enterprises, from avoiding common pitfalls to driving significant business value.
Generative AI Success Stories from Australia
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.
Mastering ICT policy – The Goldilocks Approach – Webinar and Presentation Kit
ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
Managing Generative AI for Software Development Teams
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.
Generative AI Risks and Mitigation
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.
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