Since the introduction of OpenAI’s ChatGPT two years ago, the technology industry has been consumed by generative artificial intelligence. And one technology executive predicts even more companies will adopt the technology next year.
Hilary Hunter, IBM’s chief technology officer and general manager of innovation, said companies are already looking for technology to scale and implement AI, with a focus on increasing efficiency and reducing risk in 2025. will be guessed (IBM) infrastructure, he told Quartz.
With cost efficiency in mind, Hunter said companies are likely to look for smaller, more targeted generative AI models. Enterprises will also be able to “optimize latency, efficiency and accuracy across AI workloads” through ensembles, or combining multiple machine learning or deep learning models for more accurate and robust results, Hunter said. he said.
“For example, companies have the option of using smaller, faster, more energy-efficient models on CPUs (core processing units) as a starting point for data analysis and processing, followed by larger models on GPUs. There will be,” Hunter said. If needed, you can accommodate more complex workloads that require additional performance, all within the same AI workflow. ”
In July, Nvidia (NVDA) Chief Executive Officer Jensen Huang said: The next wave of AI is for businessand everyone at the company “will have an AI assistant.”
“We want every organization to be able to create their own AI,” Huang said during a fireside chat at SIGGRAPH, a computer graphics conference. “So everyone will have collaborative AI that will enhance and empower them and help them do their jobs better.”
As the technology industry focuses on launching new AI products, chatbots are being taken over by AI agents, software that can perform complex tasks autonomously. Most of the AI-powered tools released to date are copilots that make users more efficient, but they require multiple prompts.
Hunter said companies must step up their AI efforts next year or risk being left behind. Businesses recognized AI as becoming even more important this year, but “often struggled with disparate AI process steps and true ROI.”
Hunter said companies must finalize their AI projects by 2025 or create an “increasingly bloated technology environment” with more costs and slower innovation. .
“Enterprises can move away from the Frankencloud (a disparate environment where data is replicated and scattered across various unconnected locations) and actually leverage and manage AI-related data and models to achieve outcomes such as: It’s time to create the holistic view we need to generate support for our investments in AI,” Hunter said.
Next year will see companies grappling with “technology debt,” the debt caused by failing to modernize IT infrastructure or not having the integrated IT and cloud-based solutions needed to optimize AI. Probably.
“While AI itself can help modernize IT, collaboration across the C-suite will be key to getting out of this debt in the year ahead,” Hunter said.
