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One reason is that documents, medical records, emails, images, video, and audio and so on, are almost impossible to prepare, manage, and use in AI applications before recent technological strides in areas such as AI, computer vision, and large language models such as those used in generative AI.
Models became incrementally more accurate, cost-effective, and multimodal, and enterprises began to commit to this technology. And, compared to 2023, more CXOs are reporting that their function has rolled out the technology for at least one use case (from 4% to 22%).
The technology helps companies in staff management, among other things. As a result, retailers turned to AI and intelligenceagents to decipher complex customer service requirements for seasonal sales, Vince wrote. “AI helps detect talent and skills in potential recruits,” Vince’s article reads.
The landscape was evolving to a focus on sustaining continuity while gaining competitive advantage through access to data through the most practical path of least disruption. A slow-moving AI coup was happening in parallel with data at the center and it was more significant than any prior technology inflection points.
AI agents are set to revolutionize procurement by addressing existing challenges, enhancing efficiency, and paving the way for a more strategic and proactive procurement function, says Santosh Nair, GEPs chief product officer. Organizations that embrace this technology stand to gain a competitive edge in the evolving business landscape.
Intelligence Gathering : The modern IRO transcends the role of a record-keeper and takes on the role of an intelligenceagent. When armed with smart search technology that finds synonyms beyond what a Ctrl+F search would surface , IR teams can mitigate the risk of missing key phrases or mentions.
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