In the ever-changing landscape of industrial data management, data itself has become a pivotal asset driving decision-making, operational efficiency, and competitive advantage. However, managing the vast amounts of data generated by industrial processes is no longer just a technical challenge—it is also an organizational one. Effective Industrial Data Management (IDM) is essential for harnessing the full potential of data, but to achieve sustainable success, it should be accompanied by a comprehensive approach to Organizational Change Management (OCM).

Equally important, we will examine how organizational culture, leadership, and workforce dynamics play a crucial role in the success of data-driven transformation. Attendees will gain practical insights into overcoming resistance to change, fostering cross-departmental collaboration, and ensuring that employees are equipped with the skills and mindset necessary to adapt to new technologies and processes.

During this webinar you will learn:

• Best practices for managing industrial data at scale, from collection & storage to analysis & reporting
• Design successful change management strategy that align with technological shifts associated with IDM
• Tools for managing the human element of digital transformation, ensuring long-term adoption & execution

Tune in to this insightful webinar where we will introduce technology platforms, including FactoryTalk DataMosaix and PTC ThingWorx, which are at the forefront of this transformation. Delve into the innovative strategies that distinguish Kalypso and Rockwell from their competitors, highlighting their unique approaches and solutions.

What you will learn:

• Preserve IDM principles during the digital shift, ensuring operational efficiency and improvement
• Unique strategies and solutions that boost operational efficiency and support continuous improvement
• Understand how to leverage technologies like FTDataMosiax and PTC ThingWorx with this critical transition

Quality is the cornerstone of industrial manufacturing operations, significantly affecting customer satisfaction, brand reputation, and ultimately, profitability. Machine vision plays a crucial role in industrial manufacturing by providing real-time quality control, defect detection, and process monitoring. By utilizing advanced technologies like artificial intelligence and machine learning, machine vision optimizes processes, reduces waste, and enhances product quality. Combining machine vision feedback with advanced closed-loop control strategies allows machines to automatically take corrective actions, minimizing and preventing defects from occurring.

Our new machine vision analytics application, FactoryTalk® Analytics™ VisionAI™, offers a no-code approach to vision inspection, which improves quality, maximizes yield, and provides critical insights from real-time production data. Our solution streamlines the entire workflow — from camera configuration and image capture to model training, deployment, and quality performance analysis—empowering quality personnel and plant operators with the information they need to achieve their quality performance targets.

What you will learn:

• AI, machine learning, and machine vision are enabling industrial manufacturers for quality goals
• Machine vision capabilities supports process optimization, robotics, and predictive maintenance
• SaaS (Software as a Service) applications enhance anomaly detection in production