Webinars to Watch:
Upcoming & On-Demand

The future of manufacturing isn’t waiting for AI—it’s already taking shape around it.

Join us for an exclusive look at the Future of Manufacturing Project’s latest survey report, Shaping the AI-Powered Factory of the Future. This expert-led panel will explore how manufacturers are laying the groundwork for AI transformation—even as many are still early in their journeys.

Survey findings show strong momentum: 68% of respondents believe AI will be foundational to future competitiveness, and investments are ramping up across the board. Yet challenges remain—from data quality and accessibility to talent shortages and from unclear leadership to legacy systems. Success will require strategic alignment, steady scaling and the agility to adapt fast.

Whether you’re deep in deployment or just starting to explore AI’s role in your operations, this session will surface early signals, emerging trends and the real-world obstacles manufacturers are navigating now. Get a first look at what’s driving progress—and what may hold it back—in the race to build smarter, more competitive factories of the future.

Panelists:

• Tim Buschur, Chief Strategy Officer, Invisible AI
• Austin Locke, Global Leader of Data Science and AI, Rockwell Automation | Kalypso
• Kris Slozak, Director of Consumer and Industrial Products, West Monroe
• Richard Weng, Managing Director, Accenture

Moderator:

• Steve Moskowitz, Ph.D., Senior Director, Manufacturing Leadership Council

This call is part of the MLC’s Future of Manufacturing Project.

Industrial leaders know that data holds the key to competitive advantage - but too often, it remains locked in siloed systems, underutilized and disconnected from strategic decision-making. The challenge isn’t just collecting data, it’s transforming it into intelligence that drives real business impact.

Join us to explore how leading manufacturers are building a strong data foundation to accelerate digital transformation and autonomous operations. We’ll discuss how to break down IT-OT barriers, establish enterprise-wide data governance and leverage AI-driven insights to optimize performance, reduce costs and accelerate innovation.

With unparalleled access to industrial data and expertise in both automation and AI, we help organizations turn raw data into real-time intelligence, powering smarter and faster decisions at every level of the enterprise.

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

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

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

As the medical world continues to shift toward value-based healthcare, the need for product quality and efficacy improvements, together with cost containment, is becoming more pressing. The traditional focus on pure compliance in addition to siloed business processes and systems impede companies’ abilities to deliver on product quality and patient safety standards.

To change the mindset of the medical device industry, the FDA started the Case for Quality (CfQ) initiative, which recommends manufacturers focus more time up-front on quality by design versus pure compliance. This new strategy relies heavily on digital transformation and harmonization of cross-functional activities that contribute to the safety and efficacy of each device.

Conmed faced this challenge head-on and augmented their CfQ journey by unifying core regulated processes, quality management, and product development in a single system.

Watch on-demand today, to hear how Conmed:

• Leveraged FDA’s CfQ to build a digital quality management transformation strategy and gain organizational alignment
• Instilled a culture of quality that is helping the organization navigate the global pandemic
• Reduced the cost of poor quality and improved operational efficiency
• Improved the safety and efficacy of products

During the session, learn about enabling technologies and practical implementation approaches that will help you get started with your digital quality management initiative and work towards enterprise-scale success.