If your org is still waiting to pilot GenAI, what’s holding things back? Choose the top reasons your company is waiting:

Machine Learning (ML)Artificial Intelligence (AI)

Cost21%

IP concerns42%

Security49%

No in-house experts28%

Other priorities19%

No use case21%

Distrust of GenAI vendors/companies12%

Poor quality of output10%

Another reason (comment to share)2%

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Fractional CIO in Services (non-Government)2 years ago

Curious about the IP concerns - are they concerns of IP being stolen, or concerns of IP used in the generation of content? 

IT Manager in Construction2 years ago

I add some other points:
Missing governance team for data and AI
Use cases not well defined by business
Platform and technology to be adopted: lock in risk

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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.

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

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What changes do you want to see in GenAI tools over the next quarter? Pick your top 3.

Better security25%

Higher quality output62%

More scalability28%

Lower costs64%

More transparency37%

Additional customization options15%

Easier to use 15%

Another change (comment to share)

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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.

What are your organization's investment plans for the next 12 months in AI?

Increase investment64%

Stay the same35%

Decrease investment1%

View Results