The ongoing push for digital transformation has been long urging organizations to upgrade and overhaul technology stacks toward service-based models. Learn how CIOs are responding in this Trendline.
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NOTE FROM THE EDITOR
Around this time last year, most leaders thought generative AI was nowhere near ready for tech stack integration. Today, having a strategy for the technology is no longer innovative — it’s expected.
OpenAI didn't create generative AI, but the release of its conversational tool ChatGPT sparked a fire that caught the attention of the entire world.
It’s been a whirlwind to cover, and there are still unanswered questions as companies forge on with adoption plans. A lot has changed in a short time, so I compiled a timeline to capture the key advancements of generative AI in the last year.
While not comprehensive, it serves as the highlight — and lowlight — reel of the technology.
On a related note, the CIO Dive editorial team will take a look at what next year will bring for generative AI and its adoption as part of our live event on Dec. 6. Save your spot by signing up! We’ll also discuss the top trends shaping talent demand and the next phase of cloud.
Ahead of the one year anniversary of ChatGPT’s debut, CIO Dive compiled the key generative AI milestones that stamped the technology into the enterprise lexicon.
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