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All issuesVolume 321, Issue 4IT NewsAI

A Look At Expectation vs. Reality Of Generative AI In 2024

Search Enterprise AI, Tuesday, December 24th, 2024

In a time of crisis, no one wants to be unsure of what a business process or IT component is. Disaster recovery is the strategy businesses use to prepare for and recover from disruption or cessation of operations. IT disaster recovery addresses data, service and infrastructure issues to restore functionality. With such a broad array of functions and technologies involved, it's critical that employees working on disaster recovery understand the terminology. With the right information, you can either help fix an issue and move the recovery along, or inform other relevant parties what is happening moment by moment.

If 2023 was the first year of generative AI for both the enterprise and consumer markets, and the accompanying profusion of large language models, then 2024 was when LLMs and generative AI systems quickly grew and matured.

At the start of the year, people in the AI industry looked ahead and saw regulation of generative AI systems, a flowering of multimodal models, and whispers about artificial general intelligence, or AGI, continuing unabated. A year later, the landscape looks a lot different.

Here's a look at four scenarios for 2024, and how the reality actually turned out.

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