“We must now address the root causes that go beyond connectivity. Rather than focusing on big innovations that require significant investment, it is better to focus on enriching existing services with empathetic delivery design principles and guide citizens through the service.” Dr Joseph Sweeney
As the landscape of computing continuously evolves, from early innovations like the mouse to today’s touch-screen technology, the advent of natural language processing and generative AI promises to reshape human-computer interaction. What strategies can organisations employ to harness this potential and prepare for this monumental shift in the way we work with computers?
Dr. Joseph Sweeney provides enlightening insights in this IBRSiQ, as he delves into the utilisation of AI in government beyond ChatGPT.
Discover the potential benefits of using diverse data in fraud detection. This IBRS special report will show you how big, diverse data can help businesses prevent fraud and improve customer experience.
Implementing AI intelligently requires a strategic approach that balances innovation with risk management. Here’s how to do AI intelligently.
Discover strategies to effectively manage large language models (LLMs) in your enterprise and optimise your AI solution for better outcomes.
Enterprise leaders that impose technology-driven changes in the organisation instead of focusing first on the people aspect and culture that embraces change, find it more difficult to execute a successful digital transformation process. How can leaders best drive technical fundamental changes?
On the 9th of March 2023, IBRS moderated an in-depth peer roundtable on the challenges and future of fraud detection. The session was conducted as part of the Australian Cyber Security Leadership Summit and sponsored by Confluent. The session was attended by senior cyber security and fraud specialists from Australia’s top enterprises and conducted under Chatham House rule. Following is a summary of the key observations discussed and recommendations shared by the participants.
AI-infused information management tools are already in the market and more are expected. However, AI will not solve the issues that are crushing information management teams and leaving organisations exposed to increasingly fractured information governance practices.
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