Qlik's Field CTO for Generative AI Ryan Welsh reveals why 95% of enterprise AI projects fail and shares the three proven strategies the successful 5% use to deliver real business value from their AI investments.
Topics Include:
- Qlik's Field CTO reveals why 95% of AI projects fail despite massive investments
- MIT research shows shocking failure rates, but 5% are achieving real business value
- First major pitfall: Bad data foundations doom even the most sophisticated AI models
- Second problem: Companies use generative AI when predictive models would work better
- Third issue: Unnecessary complexity - AI projects disconnected from business outcomes
- Success secret #1: Ground AI in trusted enterprise data and user context
- Some LLMs struggle at specific tasks like claims processing despite passing medical exams
- Success secret #2: Let AI learn from users while keeping data governance intact
- Success secret #3: Embed AI directly into existing workflows like Salesforce
- Agentic AI shifts from reactive Q&A to proactive systems that execute across platforms
- Case study: Lintek reduced churn 10% and saved millions using these principles
- Your AI choices today will lock in your trajectory for years to come
Participants:
- Ryan Welsh – Field CTO – Generative AI, Qlik
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at aws.amazon.com/isv/
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