Do you think most businesses are diving into AI faster than previous major technological developments, like smart phones and e-commerce? Do you think the relative ease of adoption is ultimately driving this?

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SVP & CIO in Education25 days ago

Yes.  In a slightly broader context, I think this has been the pattern at an individual level with most major new technologies dating back to radio and television, and of course the more recent e-commerce, smartphones, and cloud computing.  Hence may be the organizational response is a natural out growth.  

In the case of AI, the potential for game-changing benefits and the ease of unpaid access to basic capabilities are driving the rate of adoption.  Previous technological developments like Web, social, and smartphones have made dissemination of information about any new tech, like AI, much easier, and it also happens at greater speed.  There is probably a more mundane human aspect as well of people not wanting to be left behind, particularly having witnessed multiple technology-ignited revolutions - they are more aware.

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Chief Information Officera month ago

I agree with the comments that organizations are under a great deal of pressure to adopt and reap the cost efficiencies of AI.  However, I believe it was Gartner research I read this past week that said approximately 95% of organizations have or are creating an AI Strategy while only approximately 14% have developed a plan on how to execute.  My question is, of that 14% how many organizations have an integrated AI and Security execution plan?

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Chief Information Officer in Finance (non-banking)a month ago

Agreed. The faster pace is driven by API-ready tools and business pressure to not be left behind. But AI without a clear risk model is just legacy tech in disguise—at scale.

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Director of IT in Educationa month ago

Yes, absolutely easy to use and very effective.

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Chief Information Security Officer in Manufacturing2 months ago

Yes, businesses are adopting AI more rapidly than previous technologies like smartphones and e-commerce, largely due to its perceived strategic advantage and relative ease of integration. Advances in cloud computing, pre-trained models, and accessible tools lower barriers, enabling quicker deployment and fostering competitive pressure to adopt AI swiftly.

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