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: 810SHOW TRANSCRIPT: Cloudcast #810 SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW NOTES:WHAT WERE THE PATTERNS FOR ENTERPRISE IT AND CLOUD?Shadow ITHigh-scalability or Short-term Projects (and experimentation)Migration via “Cloud First” initiativesDifficult stuff came lastWHAT’S DIFFERENT ABOUT AI vs. CLOUD?CPU to CPU was easier to calculate vs. CPU + GPUHave 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?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod