European industry is at a critical juncture. Faced with both the green and digital transitions, the continent must reinvent itself. These transitions are not merely policy ambitions, but form the backbone of the European Commission’s long-term strategy for global competitiveness and sustainability. This was strongly emphasized in the 2024 Draghi Report, drafted by former Italian Prime Minister Mario Draghi at the request of the European Commission.Source: University of Twente, Fraunhofer Innovation Platform for Advanced Manufacturing <a href="https://fip.utwente.nl/nl/article/vijftiende-uitgave/vijftiende-uitgave-ai-hub-east-nl/" target="_blank" rel="noopener noreferrer nofollow">Article: AI-HUB Oost NL at the Heart of Industrial AI</a>European industry is at a decisive moment. Faced with both the green and digital transitions, the continent must reinvent itself. These transitions are not merely policy ambitions but form the backbone of the European Commission’s long-term strategy for global competitiveness and sustainability. This was strongly emphasized in the 2024 Draghi Report, drafted by former Italian Prime Minister Mario Draghi at the request of the European Commission.The report, officially titled “Report on the Future of European Competitiveness,” warns: Europe cannot afford to delay. If we want to close the productivity gap and secure our economic future, a substantial investment in innovation is needed. And in no area is that investment more urgent than in Artificial Intelligence (AI).For the Eastern Netherlands—a region known for its strong high-tech and manufacturing industries—the rise of AI presents both challenges and enormous opportunities. AI enables smarter production, more efficient use of raw materials, and a stronger international position. But it also requires digital infrastructure, organizational maturity, and strategic boldness. The time to take action is now.<h1>Laying the Foundation: Data Readiness as the Starting Point for Industrial AI</h1>“Without structured data, AI has nothing to build on,” says Frank Dikker, founder of TransAI—a platform that enables manufacturers to securely implement on-premises AI.“Digitization isn’t just a first step—it’s the foundation.”TransAI’s hybrid solution connects machines, systems, and operators, allowing data to be collected and processed locally without leaving the factory. This ensures compliance and control—two critical requirements in the industry.Peter Nales of Smart4Factories also emphasizes the importance of a solid digital foundation: “Without a digital structure, AI remains an empty promise.”His organization helps small and medium-sized businesses build this foundation step by step. “Organize first , then digitize” is the guiding principle.Jeroen Linssen, a lecturer at Saxion University of Applied Sciences, echoes this sentiment: “What you see in AI applications is just the tip of the iceberg. Before you can operationalize AI, your processes must truly become data-driven.” That transformation requires more than just software—it demands infrastructure, governance, and a cultural shift.The urgency is clear. As Erik Fledderus of Windesheim puts it: “Without data readiness, there is no business case for AI.”In the eastern Netherlands, this insight is beginning to gain widespread acceptance—not only in labs, but also on the shop floor, where AI’s true potential comes to life.<h1>From Potential to Practice: AI That’s Already Delivering Value</h1>In the eastern Netherlands, AI is no longer a vision of the future—it’s already delivering results today. While global attention often focuses on AI in consumer technology, the biggest breakthroughs are actually happening in industry. “The first AI applications we’re seeing focus on efficiency,” says Michiel Verheij of digital agency TRIMM. “Predictive maintenance, real-time forecasting, and yield optimization are no longer just for the big players—SMEs can benefit from them too.”At Smart4Factories, engineers are collaborating to develop an AI agent that supports production planners with insights derived from high-quality process data. “A kind of digital colleague,” as Peter Nales calls it. At Saxion, large language models are being used to make technical manuals more understandable for maintenance staff—with a direct impact on uptime and safety.But the real value of AI lies not only in speed or cost savings. “AI enables new revenue models,” says Verheij. “The challenge lies not only in optimization, but also in rethinking value creation.”For smaller manufacturing companies, this path is not self-evident. As Erwin Folmer of HAN points out, most SMEs do not have their own AI department. They depend on accessible tools and foundational knowledge. And that’s where knowledge institutions like HAN, Saxion, and Windesheim are actively helping.From predictive algorithms to cobots and smart quality control—the Eastern Netherlands is emerging as a testing ground for industrial AI. And this is just the beginning.<h1>Beyond the Tool: Strategy and Business Models in the AI Era</h1>Implementing AI is not a simple technological upgrade—it’s a strategic transformation. “A fool with a tool remains a fool,” says Michiel Verheij of TRIMM. Giving employees access to AI tools isn’t enough. The real challenge lies in connecting AI with vision, culture, and leadership.AI is a systems technology that cuts across departments and processes. “Ownership must lie with top management,” says Verheij. “You can’t leave AI strategy solely to IT or middle management. It touches on how value is created, who makes decisions, and how people work together.”For many small and medium-sized businesses, this is a significant step. That’s why educational and research institutions are stepping in with training programs, applied research, and shared facilities. Their goal: to make AI concrete and actionable—not as an abstract idea, but as a strategic capability.Peter Nales calls digital transformation “a continuous learning process.” Vision, structure, and collaboration are essential. In that light, AI is not an automation tool, but an opportunity to reinvent the business model. Think of data-driven services or customization powered by AI.In the Eastern Netherlands, AI and data-driven work are no longer just a nice-to-have—they are increasingly becoming the lens through which innovation and strategy<h1>Connecting and Accelerating: The Role of the Eastern Netherlands AI Hub</h1>The AI Hub Eastern Netherlands plays a key role in supporting regional industry in capitalizing on AI opportunities. By connecting entrepreneurs with researchers, grant programs, and real-world examples, the hub makes AI tangible and accessible—especially for small and medium-sized enterprises (SMEs).The approach is practical: from sharing success stories to facilitating test environments and pilots with co-funding. The goal is clear: to lower barriers and accelerate AI maturity. Or, as the hub puts it: Make AI Work.The hub is more than a regional driving force; it is also a gateway to national and European initiatives, with networks such as AIC 4 NL, EDIH BOOST Robotics, the Vanguard Initiative, AI Redgio, and the INDUSTR_I4.0 project.With deep roots in the innovation ecosystem of the Eastern Netherlands, AI-hub Oost ensures that companies have access to knowledge, tools, and partnerships to translate AI from ambition into action—and from potential into a competitive advantage.

Smart, Green, Competitive