Is your organization currently using OpenAI's API?
Yes, we're actively using it35%
No, but it's part of our roadmap57%
No, and we have no plans to6%
Unsure
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‘AI’ Business Model – With many components flowing into the AI domain (cost, data, E&C, people, value, strategy, duplication of everything, etc.), I’ve started to think about splitting out ‘AI’ from the operating model and putting it into a separate legal entity. This way, I could manage a) risk and compliance, b) cost, c) resource allocation, d) governance, e) IP, f) revenue generation, etc.
Of course, this isn’t new in general, but I’m especially interested in how this approach could help with the ongoing challenge of ensuring compliance with data privacy and regulations related to LLMs and data access/usage over time.
My question: Is anyone else thinking about this, or has anyone already done it? I know there are examples in the literature, but I wanted to float this here for general comments and discussion.
Better security25%
Higher quality output62%
More scalability28%
Lower costs64%
More transparency37%
Additional customization options15%
Easier to use 15%
Another change (comment to share)
What is the one business pain point / challenge that you regularly face, that you wish AI had solved it? The problem could be a time consuming, routine task that is frustrating to handle. It may happen daily / weekly / monthly, and you may lose many hours on it which results in delays / added cost.
As enterprise AI adoption accelerates, how is your organization adapting its governance and risk oversight to keep pace?
Established AI governance framework with defined policies and oversight39%
Currently developing governance models and risk controls69%
Relying on existing security/compliance frameworks (no AI-specific policy)31%
No formal AI governance approach in place3%
Multiple production workloads
Trialling Google, trying to get access to AWS