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

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

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?

Will Enterprise AI adoption patterns follow Enterprise Cloud

The Reasoning Show