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“We don’t normally think of tablets as life-saving tools, but during the Covid-19 pandemic, when emergency hospitals needed to be built, these devices and new infrastructure played a vital role,” says Yuanqing.
“In difficult times, like the pandemic, it was new IT that kept us connected, productive and engaged.” He continued, “The public cloud is becoming more popular because it offers flexibility, scalability and on-demand access. However, many enterprise applications and data are still running and stored in private clouds or on-premises data centers. In fact, we will continue to see the coexistence of private, public, and hybrid clouds for computing, storage, and networking needs.
The same Lenovo study found that cloud, software and computing are key elements of the future of the hybrid workplace, with 84% of respondents optimistic about the future of the hybrid cloud.
5G networks will enable innovation and flexibility: Connecting the essential components of the new IT architecture requires a fast, efficient and customizable network. The answer: 5G—the next generation of mobile wireless voice and data communications technology. In the year According to a 2022 Lenovo survey, 72% of CTOs see opportunities for their company to use 5G multi-access edge computing (MEC) with demand for hybrid options that control the workplace. “The popular hybrid business model that many companies have adopted in the past three years is only possible with high-speed networking,” says Yuanqing.
AI tools mimic human intelligence to solve problems: By combining data, computing power, and sophisticated algorithms, AI can process large amounts of data faster than a human worker, adjust to accommodate change, help users learn better processes, and anticipate risks like cost overruns. accidents, and maintenance needs. Using multiple AI technologies and optimized algorithms, Lenovo Research created new processes for the manufacturing facility, dramatically improving production planning processes, cutting some six-hour processes down to 90 seconds. Lenovo estimated that the AI solution improved order performance by 20% and productivity by 18%.
Consider that a single PC order starts a series of complex tasks in several production lines and requires balancing thousands of parameters such as labor schedules, materials, production processes and equipment conditions. Lenovo’s largest manufacturing base for PCs, LCFC Electronics, processes up to 690,000 orders a year. Although accounting for these large-scale calculations is a challenge for humans, the AI engine can easily perform them, and it makes dynamic real-time adjustments for large or small objectives. The AI solution’s self-learning capabilities mean it gets smarter the more it works. “This smart solution has improved energy efficiency and reduced greenhouse gas emissions by thousands of tons per year,” says Yuanqing.
A view of the future
Technologies such as smart devices, edge computing, cloud computing, 5G and AI are facilitating the transition from information technology to intelligence. “New IT is shaping the future in many new ways,” says Yuanqing. “In the future, the things you make, the colleagues you work with, the environment you work in, and the results you deliver may be real or virtual, from AI assistants and digital twins to the metaverse.”
As always, as change moves forward, technology executives must carefully consider the real-life consequences of deploying new IT infrastructure. Security, compliance and usability standards must still be met. “Environmental, social and governance (ESG) goals should be given greater attention,” says Yuanqing. “For the future, every element of the new IT architecture must incorporate ESG. When you evaluate the results of innovation, it’s not just the financial return, but also the social impact.”
Learn more about the Lenovo Global CTO Study here.
This content was produced by Insights, the custom content arm of MIT Technology Review. It is not written by the MIT Technology Review editorial staff.
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