Proposta di soluzione

Smarter, faster, safer: Revolutionizing manufacturing with Generative AI

The adoption of Generative AI (GenAI) in manufacturing is growing rapidly. However, while interest increases, widespread deployment is still limited: data readiness, skills gaps, security concerns and legacy systems constrict adoption. Many manufacturers are still in exploration or pilot phases, and some are just starting to look at its potential Generative AI empowers manufacturers to be more agile, resilient and innovative by automating complexity, reducing waste and enabling smarter decisions. Learn how HPE, a trusted partner, is helping ma ...more

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Computer vision for smart manufacturing

Maintaining competitive momentum in a turbulent world has seen the manufacturing industry under pressure to innovate faster, increase margins and enhance resilience. Global challenges, major disruptions and supply chain issues have highlighted the fragility of globalized production in recent years, while government and regulatory responses to these challenges have accelerated, manufacturers have struggled to keep up. With a strong focus on the concept of “smart factories”, manufacturers must embrace initiatives that boost productivity, drive co ...more

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Bridging the physical and digital with Digital twins

As industries become increasingly complex and reliant on data, leading manufacturers are leveraging the power of digital twins to optimize operations, reduce risks and accelerate innovation. It is more than just a virtual representation of a physical asset – it is a dynamic, data-driven model that mirrors real-world systems, people, processes and environments. By integrating real-time data and simulations, digital twins enable manufacturers to predict outcomes, refine designs and streamline decision-making. This technology is revolutionizing t ...more

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Key agentic AI concepts, use cases and considerations to drive ROI

AI agents are like computer programs that can perform tasks independently using artificial intelligence. They can significantly boost business productivity by handling complex, multi-step operations quickly. To work effectively, these agents need access to an organization's data, which can be both structured data — patient records at hospitals or transaction details at a department store for example — and unstructured data, like video files or social media posts. The potential for AI agents is massive but the quality of work depends heavily o ...more

Report

Enterprises are winning big with generative AI. Here’s how they’re doing it.

More than nine in 10 early adopters say that their gen AI investment is in the black. For the 1,268 respondents who said that they have specifically quantified the ROI of their gen AI initiatives, the average return is 41%. Meaning that for every $1 million sunk into a gen AI project, the company is seeing $1,410,000 in business value, through increased revenue, reduced costs or both A major question for gen AI deployment is whether to use it internally to help employees, or externally to improve customer interactions. The latter is often seen ...more

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