Almost finalizing the first half of 2024. What is now your appetite for AI/GenAI application in your organization?

Less interest 22%

Same interest 50%

More interest 28%

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Director of IT in Transportationa year ago

We have begun adoption of Microsoft CoPilot for Office 365 and some early testing of the Enterprise version of ChatGPT 4-o, both of which have enterprise license terms that state that they will not generally train their LLM on data entered in prompts.

Early adopters are very impressed with what these tools can do to increase employee productivity.

We put forth to all our employees a policy with guidance and cautions about the use of AI.

IT Manager in Constructiona year ago

Same approach, observing market proposals and slowing implementing the cultural mindset for the approach.

Director, Human Resources Technology Enablementa year ago

We will continue to look at GenAi and how it can increase efficiency in our operations and how we can improve self service.

VP, Information Technologya year ago

I think we have shifted from GenAI End-all-be-All, to a use case specific solution(s) roadmaps.  I have recently started to look at use cases for Operations & Support and divide them between, 1) able to use Gen AI as is (ex. knowledge article writing) vs 2) Require training with our data (ex. auto generate workplans for app updates).

CIO in Governmenta year ago

AI  continues to take center stage. Technology leaders should start crafting AI Strategic plans and roadmaps to align with the opportunities and challenges.  

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I am a huge fan of this technology20%

I find this technology very useful, yet have some slight doubts64%

I have quite a few doubts about this technology12%

I am not a fan of this technology at all2%

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Yes—we've already passed the AGI line, but we keep redefining it.

Almost—these systems feel general, but something's still missing.100%

No—AGI must be autonomous, embodied, or conscious. We're not there.

It doesn’t matter—what we have now is disruptive enough.

The term AGI is a distraction. Focus on outcomes, not labels.

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