Abhishek Singh Bailoo

Mitigating AI Bias for Equitable AI in the Enterprise

Artificial intelligence (AI) bias threatens to undermine the fairness and effectiveness of enterprise AI solutions. We examine key types of AI bias, their real-world impacts, and practical mitigation strategies – focusing on examples from Australia, New Zealand, and India. Learn key approaches to develop more equitable AI systems that serve diverse populations and unlock the full potential of AI for your business.

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Measuring The Effectiveness Of Virtual Assistants

As large language model (LLM)-based virtual assistants continue to permeate various aspects of enterprise operations, measuring their effectiveness becomes crucial and more complex. The key lies in developing a holistic measurement framework that combines traditional metrics with novel approaches tailored to each specific use case.

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AI Governance is More Than Data Governance

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.

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Case Studies in AI Ethics

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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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.

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assurance

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.

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