Will Enterprise AI adoption patterns follow Enterprise Cloud adoption?

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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