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

Machine Learning (ML)Artificial Intelligence (AI)

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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Head of Transformation in Governmenta year ago

I'd like to see the hype die down a bit.

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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.

With AI adoption accelerating across enterprises, what do you view as the top information security challenge that leaders should address? How can CISOs, VPs and Director’s align governance, risk and security investments to enable AI innovation without creating new exposures?

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Are you using Model Context Protocol (MCP)? If so, how?

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

Increase investment65%

Stay the same35%

Decrease investment1%

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