Everyone talks about AI, but conversations often focus on the possibilities rather than concrete business outcomes. However, Lenovo's “Ainomics” or the second CIO survey of AI's value for businesses revealed specific insights into business leaders' perceptions and AI adoption.
According to the survey, 94% of AI projects conducted at EMEA in the last 12 months meet expectations, at least over 31%. This has led to a 104% increase in predicted AI investment this year.
These findings formed the basis for a panel discussion among five industry experts on how AI can drive business success.
Increased use cases and satisfaction
“We are pleased to announce that we are committed to providing a range of services and services to our customers,” said Greg Smith, Executive Director and General Manager of EMEA SSG at Lenovo. “We see an increase in AI projects and use cases ingestion. One thing that drives growth is the transition from experiments to full implementation of generated AI use cases.” The findings show that organizations are beginning to recognize the value of AI-powered devices and solutions, increasing productivity and improving customer experience.
“The key is that people are now seeing profits,” he says. “It creates a reason to move from experiments to implementation. It offers on expectations. It promotes higher satisfaction. Organizations strategically adjust AI investments with business plans and values.”
Matthew Unangst, senior director at AMD, added: “This whole generative AI space is still in very early stages, and it's actually 12-18 months when the wider industry is beginning to see this as a major trend, and companies are actually rushing to wrap their heads around and catch up.
I think companies are more successful if they have a very clear idea of the benefits of each of these approaches.
Claire Walsh, Director of Education at the Institute of Analytics, agrees that he is focusing on trends towards the role of professional AI, such as traditional machine learning, automation, or new LLM-based solutions. “If you have a very clear idea of the benefits of each of these approaches, you think that companies are more successful,” she says. “This wide range of options are available, and there is a greater chance that they will either generate new revenue or conflict with something that protects existing revenue from new threats.”
Pleo's chief technology officer Meri Williams adds that “Genai was a hammer looking for claws,” the team is trying to use it all. Since then, many leaders have realized that traditional machine learning is more appropriate. “It's very costly and isn't necessarily the best solution to reach genai every time.”
Johan Huss is Vice Chairman of Sandvik Coromant and Head of Digital Machining. He adds that his company is approaching AI recruitment in three ways. It supports office-based roles such as improving manufacturing processes, sales, and more, improving customer outcomes. “All three of these areas are important, but they also use different stages of the AI boom,” he explains, noting that Genai plays an important role in the latter two.
Smith points out that just over a year ago, many companies were concerned about how to avoid failure, monetize AI and make genai work. He says many organizations understand the range of use cases available today. “It's not about hype, it's about intelligent decisions tailored to the outcome of your business,” he says. “It's amazing how far this has progressed in just 12-18 months.”
The rise of AI-equipped devices
One new development in this field is AI-powered devices. Smith points out that only 1% of those surveyed by Lenovo say they are not considering using AI PCs. “AI PCs are actually the gateway for a more successful implementation of Genai,” he says. “It's a bit touching everyone,” he also expresses his surprise that so many leaders have heard or used AI PCs.
Unangst adds that user experience will be key to wider adoption, but that “applications running on notebooks or desktops will increasingly utilize these new AI PCs.” He agrees that the AI PC space is still “embryo”, but expects the next 12-18 months to see the beginning of a new industry around it.
Walsh adds: “This is synchrony. These technologies are embedded in the machines we use every day, so it's impossible to ignore them. At the same time, data scientists and skilled technicians can do more and get better.
She concludes that companies understand that this is no longer something to ignore. “As companies receive a message that they need to embed at all levels, new titles that appear each month have a thriving role in data and data usage.”
What once felt like an epic experiment has now evolved into a strategic order, with AI increasingly being measured by the tangible impact it has on businesses.
For more information, please visit lenovo.com/gb/en/business/benefits/
Everyone talks about AI, but conversations often focus on the possibilities rather than concrete business outcomes. However, Lenovo's “Ainomics” or the second CIO survey of AI's value for businesses revealed specific insights into business leaders' perceptions and AI adoption.
According to the survey, 94% of AI projects conducted at EMEA in the last 12 months meet expectations, at least over 31%. This has led to a 104% increase in predicted AI investment this year.
These findings formed the basis for a panel discussion among five industry experts on how AI can drive business success.
