IoT Insights

Industrial data security is now a fundamental requirement for any company that wants to protect its production and its customers. Have you ever considered how much it would cost to stop your production line for just one day? You don’t need a sophisticated attack to cause massive damage. A ransomware infection, an unprotected connection, or a missing update is enough to block entire departments and jeopardize your operational data. Protecting operational information and digital flows means safeguarding continuity and productivity. A Real Risk for Small and Medium Manufacturers Cyberattacks in manufacturing have grown at a double-digit rate.

In industrial settings, analyzing energy sources plays a key role in assessing the actual sustainability of the energy systems powering production plants. In this blog, we’ll take a closer look at the key aspects of energy production and consumption—from economic costs and total usage to the environmental impact of energy generation processes. We’ll also explore energy balance, self-consumption, and energy self-sufficiency. But how has industrial energy monitoring evolved, and what are the benefits of adopting a smarter, more predictive approach? Let’s explore the dynamics behind this transformation. The Evolution of Industrial Energy Monitoring: From Consumption to Prediction Traditionally, energy

Improving industrial production efficiency and streamlining production process monitoring is more crucial than ever for modern manufacturers. Yet, achieving these goals requires a step-by-step, scalable strategy that doesn't disrupt existing operations. In this article, we explore how a leading pharmaceutical company leveraged Zerynth’s Manufacturing Intelligence Platform to launch a continuous improvement journey—enhancing efficient production, identifying machine downtimes, and optimizing production process efficiency. Keep reading to discover how they did it. Industry Challenges A prominent pharmaceutical manufacturer, already equipped with MES and ERP systems, turned to Zerynth to gain deeper, real-time insight into their shop floor operations. Their goal? Drive

Industrial digitalization is often perceived as a complex and lengthy process. Zerynth disrupts this notion with a practical, results-oriented approach. Adopting a top-down philosophy that starts with applications and key KPIs, Zerynth simplifies the digital transformation journey, making it fast and accessible. In this blog post, we’ll explore Zerynth’s approach to digitalization, starting from the initial problem that drives clients to us and culminating in the customized solution our team provides. We’ll outline how Zerynth supports clients step by step throughout their digital transformation journey. Discover more about Zerynth's services. Digital Transformation: Opportunities and Challenges for SMEs Italian SMEs

Zerynth is transforming the traditional concept of time and motion in manufacturing by focusing on how machines are used. This innovative approach sets it apart from other systems designed to manage production in industrial settings. Unlike conventional MES or MOM systems, which focus on production orders, batches, or items to determine what was produced and how resources were utilized, Zerynth emphasizes machinery usage. In Zerynth, a work order is not merely a record of what was produced but an abstract framework describing how a machine was used over a specific period. This distinction positions Zerynth as a machinery utilization

The rise in energy costs and new sustainability regulations require companies to find solutions to optimize production energy efficiency and reduce energy consumption. The industrial landscape is facing increasing challenges, including the need to lower energy consumption to comply with new environmental sustainability regulations and qualify for the tax incentives offered by the Transition 5.0 Plan. In this article, we’ll explore how, with the help of Artificial Intelligence and Zerynth's Industrial IoT & AI Platform, companies can optimize production energy efficiency and reduce factory energy consumption. Read on to learn more! Why Invest in Energy Monitoring Solutions? Energy monitoring

Artificial Intelligence (AI) is a transformative technology that can be applied across various sectors, including the manufacturing industry, delivering significant advantages to companies that adopt it. With digitalization and Industry 4.0, businesses have already experienced substantial improvements in production processes. However, the integration of Artificial Intelligence into the manufacturing industry can elevate operations to an unprecedented level, offering benefits never seen before. In this article, we explore why you should consider implementing new technologies in your manufacturing operations and the tangible benefits they bring! Industry 4.0 and Artificial Intelligence in the Manufacturing Industry The manufacturing sector is constantly

In the increasingly competitive landscape of modern industry, maintaining machinery in perfect condition is not just a matter of efficiency, but also of economic and environmental sustainability. You often hear about condition monitoring, Machine Health Monitoring, and the increasingly demanded predictive maintenance. While these might seem like mere technical jargon at first glance, they actually represent the most widespread and innovative practices adopted by companies to implement proactive maintenance strategies and ensure optimal management of their productive assets. These approaches not only improve operational efficiency but also reduce costs and increase the sustainability of industrial processes. Read on to

AI is poised to reshape the Italian manufacturing industry, offering unprecedented opportunities to revitalize the sector. But what is the true potential of this technology, and how can Italian companies harness it effectively? In this article, we introduce Zerynth’s Manifesto for Accessible AI. Read on to discover more! The Economic Potential of AI in Manufacturing Industry The economic projections for AI’s impact on the manufacturing industry are remarkable. Recent studies indicate that AI implementation could contribute up to €312 billion to Italy’s GDP by 2038, representing an 18.2% growth. Notably, the metalworking sector alone is projected to see a

SMEs have a great opportunity to increase productivity and profitability through data-driven management of their production processes. Discover how to transform your business through intelligent monitoring, advanced analytics, and data-driven continuous improvement. Data-Driven Manufacturing  Adopting a data-driven philosophy, though it may seem like an overused term, is still a strategic choice for companies aiming to improve their performance. Consider the optimization of production processes: the ability to collect and analyze data across the entire process allows you to identify inefficiencies and areas for improvement in a precise manner, enabling targeted and less costly efficiency measures - a particularly relevant