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.
Many organisations are seeking to implement a comprehensive management system (ISMS) for information/cyber security. Choosing the appropriate frameworks requires careful consideration of an organisation’s objectives, costs and effort involved.
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.
The company streamlined key applications and transitioned to virtual machines, overcoming technical debt and infrastructure challenges to improve efficiency by 60 per cent and optimise licensing by 90 per cent.
Maximise the benefits of enterprise platforms: A modern architecture approach for quick turnaround and cost efficiency.
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