By Taryn Plumb – venturebeat — The human-machine relationship is dynamic and evolving. Generative AI, in particular, is set to completely transform enterprise processes, decision-making, strategy and other elements that have yet to be considered. For this reason, AI adoption should no longer be considered an IT initiative, but an enterprise initiative. Furthermore, to keep pace and take full advantage, executives must prioritize their AI ambitions and AI-ready scenarios for the next 12 to 24 months. How human-centered design drives data-driven experiences In today’s competitive market Gartner analysts offered this guidance — as well as a slew of other stats and predictions, most involving generative AI — at this week’s IT Symposium/Xpo in which wraps tomorrow. “Generative AI is not just a technology or business trend — it is a profound shift in how humans and machines interact,” Gartner distinguished VP analyst Mary Mesaglio said in an opening keynote. “We are moving from what machines can do for us to what machines can be for us.”
The year generative AI becomes democratized
Nearly three-quarters (73%) of CIOs polled by Gartner said their enterprise will increase funding for AI/ML in 2024. Similarly, 80% said their organizations are planning on full gen AI adoption within the next three years. This strategizing, along with the confluence of massively pretrained models, cloud computing and open source, will make 2024 the year that gen AI becomes democratized. Boldly, Gartner predicts that by 2025, the technology will be a workforce partner for 90% of organizations globally. In turn, this will lead to the need for AI Trust, Risk and Security Management (TRiSM), which will provide tooling for ModelOps, proactive data protection, AI-specific security, monitoring for data and model drift and risk controls for both inputs and outputs, according to Gartner.