Sunday, August 27, 2023

Considerations for Enterprise AI

Let’s talk through some of the challenges that AI will have with Enterprises - from data location to GPU location, to model biases, to data privacy to training vs. execution.

SHOW: 748

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

CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

SHOW SPONSORS:

SHOW NOTES:


ARE THERE EXPECTATIONS OF “OLD AI” vs. “NEW AI”?

  • Are business leaders thinking about unique AI applications and use-cases, or just “ChatGPT-everything”?
  • Formal data scientists vs. citizen data scientists?
  • Will this just be an application, or have an impact on every aspect of a business and the IT industry?

WILL ENTERPRISE AI BE DIFFERENT THAN CONSUMER AI? 

  • The industry is actively working on a broad set of models that can be used for different use-cases. 
  • It's commonly accepted that AI models need to be trained near the sources of data. 
  • Many businesses are concerned about including their company data into these public models
  • Many businesses will want to deploy tuned models and applications in data center, public cloud and edge environments. 
  • New AI applications will be required to meet security, regulatory and compliance standards, like other business applications. 


FEEDBACK?



from The Cloudcast (.NET) https://bit.ly/45GkL9P
via IFTTT

No comments:

Post a Comment