How AI Advancements in Digital Twins Help Leaders Navigate Growth
Digital twin technology transforms operations across industries. Artificial intelligence (AI) now plays a vital role in maximizing its potential. Hexagon’s recent Digital Twin Industry Report reveals that 80% of surveyed leaders across 11 industries report increased interest in digital twins due to AI’s capabilities. Respondents report that companies harness AI in their digital twins primarily to analyze incoming data (59%) and create more intuitive user interfaces (56%). AI and digital twins work together to unlock new efficiencies, guide informed decisions and support sustainable growth.
Let’s explore AI’s impact on digital twin technology through three essential functions: creation, updates and data accessibility. Each stage showcases how AI-driven advancements lead more organizations to embrace digital twins as a practical investment.
AI Drives Digital Twin Creation
In the initial setup of a digital twin, AI sharpens focus on critical data. It filters out unnecessary details, streamlines the process and reduces setup times. For example, AI-powered tools identify relevant data points and remove irrelevant objects from digital captures, such as temporary structures or on-site tools. This precision reduces wasted resources and keeps the digital twin lean and relevant.
AI’s targeted approach helps companies develop digital twins that align with their operational goals and avoid clutter and complexity. With a keen focus on essential data, organizations complete the setup faster and prepare for actionable insights sooner.
AI Enables Efficient Digital Twin Updates
Once implemented, digital twins require regular updates to maintain accuracy, especially in ever-evolving environments like manufacturing. Traditional updates rely on manual data collection, often wasting time and labor resources. AI automates much of this process. For example, AI-equipped drones scan entire facilities and gather real-time data in minutes rather than hours.
With the AI-driven automation of data collection and processing, organizations achieve quick and accurate updates without manual intervention. This efficiency level keeps digital twins accurate and responsive to operational changes, minimizes costs and enables real-time insights that support better decision-making.
AI Enhances Data Accessibility
AI simplifies access to digital twin data. AI integration presents information in clear, actionable formats. Rather than overwhelming users with complex data layers, AI visualizes critical insights and highlights trends to enable teams to prioritize key issues. Many digital twin applications now include AI-powered dashboards that display real-time analytics and forecasts for quick decisions at all levels of an organization.
Better data visibility from AI-driven digital twins creates a collaborative environment where teams across departments rely on the same data source. This single source of data fosters team alignment and improves response times. Leaders gain direct, easy access to the data for precise adjustments and strategic moves.
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AI integration adds greater value at each digital twin’s lifecycle stage. From setup through to maintenance and analysis, AI amplifies the benefits of digital twins for agile, data-driven management. As organizations look to optimize operations and reduce costs, many consider AI-enabled digital twins a critical part of their growth strategies.
Download the full Hexagon 2024 Digital Twin Industry Report today to explore how AI heightens the value of digital twins. Discover where your organization can capitalize on this technology.