What will be the adoption patterns for AI within the Enterprise? Will it follow the early days of Cloud Computing, or will new and different patterns emerge?
SHOW: 810
SHOW TRANSCRIPT: Cloudcast #810
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SHOW NOTES:
WHAT WERE THE PATTERNS FOR ENTERPRISE IT AND CLOUD?
- Shadow IT
- High-scalability or Short-term Projects (and experimentation)
- Migration via “Cloud First” initiatives
- Difficult stuff came last
WHAT’S DIFFERENT ABOUT AI vs. CLOUD?
- CPU to CPU was easier to calculate vs. CPU + GPU
- Have we learned any lessons about how to value people's productivity?
- Does Enterprise AI need a Crawl, Walk, Run scenario? Do they need to be sequential and linked?
- Are Enterprise AI use-cases well defined?
- How long is the Enterprise willing to fail at experiments?
- What’s the Enterprise tolerance for GenAI “flaws” (e.g. hallucinations, lack of citations, etc.)
- Will GenAI rejuvenate Predictive AI projects in the Enterprise?
FEEDBACK?
