Industrial digitization is revolutionizing manufacturing by seamlessly integrating sensors, connectivity, and advanced analytics to optimize operations and unlock the potential of AI. This white paper provides a comprehensive guide to transforming factories into intelligent, connected ecosystems, beginning with the foundational steps of implementing IoT frameworks and data pipelines, advancing through the stages of descriptive to prescriptive analytics, and culminating in the deployment of generative AI and Large Language Models (LLMs).

By leveraging a standardized Node-Gateway-Cloud connectivity pattern, manufacturers can establish robust digital infrastructures that enable predictive maintenance, smart energy management, and automated quality assurance. The introduction of domain-aware and domain-constrained LLMs offers practical applications, such as knowledge-based question answering and data visualization tools, to enhance decision-making and operational efficiency.

This white paper highlights real-world implementations, addresses challenges like data security and legacy system integration, and explores emerging trends like edge computing and digital twins. Ultimately, this white paper underscores the transformative power of industrial digitization, positioning it as an essential evolution for sustainable growth, innovation, and competitive advantage in the modern industrial landscape.

In this white paper, you will learn about:

• Frameworks for industrial connectivity
• The path to advanced analytics
• Applications of Generative AI
• Future trends and challenges

Download this white paper now to gain the knowledge you need to successfully unlock connectivity and automation.