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? 

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