Why Lenovo Smart Manufacturing Solutions Are Ready to Drive AI-enabled Transformation

Why Lenovo Smart Manufacturing Solutions Are Ready to Drive AI-enabled Transformation

Manufacturing organizations are increasingly shifting their AI workloads to on-premises private cloud environments due to critical factors such as data gravity and data sovereignty. The exponential growth of enterprise data creation, with most of this data expected to be created outside of public clouds, highlights the significance of data gravity. 

The integration process demands specialized skills in AI, machine learning, and data science, which are often in short supply. The transition from pilots to production is frequently impeded by insufficient IT infrastructure, as GenAI models require substantial computational resources that many existing systems cannot support. Also, cultural resistance and change management issues also pose significant barriers with digital transformation efforts failing or underperforming due to organizational pushbacks. These multifaceted challenges contribute to the extended timelines and frequent stalling of GenAI pilot projects. 

The Futurum Group’s latest research report, Why Lenovo Smart Manufacturing Solutions Are Ready to Drive AI-enabled Transformation, completed in partnership with Lenovo and Intel, explores why smart manufacturing solutions offer significant advantages in today’s competitive landscape. In this paper, we explore what organizations need to consider for evaluating today’s smart manufacturing solutions. To address the top challenges, select solutions that take a holistic approach in fulfilling the topmost demands of integrating GenAI solutions into the manufacturing organization deliver sharp advantages. We find that by leveraging AI-powered technologies, smart manufacturing provides instant productivity gains while balancing supply chain resiliency, operational efficiency, and innovation needs.

Moreover, Lenovo’s strategic relationship with Intel across the manufacturing industry capitalizes on Intel technologies that have helped accelerate design solutions and improve operations. Intel technology-based solutions are deployed on premises and in the cloud, offering access to accelerated AI resources for a variety of applications and business needs, immediately strengthening Lenovo Smart Manufacturing portfolio capabilities.

Key takeaways from Why Lenovo Smart Manufacturing Solutions Are Ready to Drive AI-enabled Transformation include how Lenovo’s Smart Manufacturing portfolio continues to drive digital transformation through its innovative solutions in AI, hybrid cloud, and mission-critical workloads. The company’s AI-powered Advanced Planning and Scheduling (APS) technology has a proven track record in significantly improved manufacturing efficiency alongside the focus on AI-driven insights driving the development of technologies such as Supply Chain Intelligence (SCI).

We find that Lenovo’s commitment to sustainability and security in its manufacturing processes, including the implementation of a zero-trust supply chain and ThinkShield security features, further solidifies its position as a leader in driving the industry’s AI-powered transformation. By taking a holistic approach to smart manufacturing, Lenovo not only improves its own operations but also sets a benchmark for the industry, driving innovation and sustainability in the manufacturing sector.

If you are interested in learning more, be sure to download your copy of Why Lenovo Smart Manufacturing Solutions Are Ready to Drive AI-enabled Transformation today.

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Author Information

Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.

He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.

Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.

Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.

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