Episode 5
Why AI Fails: The Hidden Data Gap Killing ROI
Samir Ghoudrani • Director, PwC Australia (personal views)
Key topics
- • Data paradox in enterprise AI
- • LLM as reasoning engine vs knowledge base
- • Knowledge engineering as new discipline
- • Five-step framework for AI-ready data
- • Bottleneck identification
Key stats
- • Australian enterprises spending average $28 million per year on AI
- • 72% claiming not to see measurable ROI
- • Four personas needed for knowledge engineering: data engineer, domain expert, AI engineer, plus executive sponsorship
- • Knowledge engineering identified as a new job role
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