8:00 AM – 9:00 AM ET
AI-powered IIoT Applications for Predictive Maintenance of Machines
Explore the groundbreaking realm of AI-driven Industrial Internet of Things (IIoT) applications in this session, focusing on predictive maintenance for machinery. Delve into the convergence of artificial intelligence and IoT technologies, discovering how predictive analytics and machine learning algorithms can preemptively identify potential equipment failures, optimize maintenance schedules, and minimize downtime.
9:00 AM – 10:00 AM ET
Accelerating Innovation and Agility in Manufacturing with IIoT and Machine Learning
This session will dive into the synergy between the Industrial Internet of Things (IIoT) and Machine Learning, focusing on their pivotal role in propelling innovation and fostering agility within the manufacturing landscape. Explore how the fusion of IIoT and Machine Learning technologies revolutionizes manufacturing processes, streamlines operations, and enables adaptive, responsive production.
10:00 AM – 11:00 AM ET
Standards and Interoperability: Addressing the challenges related to standardization, interoperability, and integration of diverse IIoT devices
Join this session for insights into practical solutions, protocols, and methodologies that facilitate a cohesive ecosystem, enabling diverse devices to communicate effectively and operate in unison, paving the way for a more interconnected and efficient industrial landscape.
Resources:
• Daimler Smart Manufacturing Case Study
• Pharma Manufacturing whitepaper
• Auto Manufacturing whitepaper
• Industrial Data Management Ebook
• Unified Namespace (UNS) Ebook
11:00 AM – 12:00 PM ET
Driving Operational Excellence with IIoT and Advanced Analytics: A Path to Manufacturing Success
Achieving operational excellence is more crucial than ever in the competitive landscape of modern manufacturing. This panel dives into the transformative power of using advanced analytics in the Industrial Internet of Things (IIoT). It focuses on the ways time series data enhances operational efficiency in modern industry.
This session explores how the integration of IIoT devices, analytics, and time series data leads to improved decision-making, enhanced productivity, and increased agility in manufacturing processes.
The session also covers key topics such as data integration, security, and scalability, which are essential considerations for implementing IIoT, analytics, and time series data solutions. We aim to provide practical insights and actionable strategies to help you leverage these technologies for operational success.
Key Takeaways:
Uncover the potential of IIoT and advanced analytics in optimizing manufacturing operations.
Learn how to apply technologies like a time series database to enhance your data processing and analysis capabilities.
Discover essential considerations and strategies for successful IIoT and analytics implementation.
Gain practical insights to drive efficiency, agility, and operational excellence in manufacturing.
12:00 PM – 1:00 PM ET
ROI Analysis of IIoT Implementation in Manufacturing: Calculating the Business Value
Explore real-world case studies, tools, and strategies used to measure the impact of IIoT on operational efficiency, cost savings, and revenue generation. Uncover critical insights into assessing the tangible benefits and strategic implications of IIoT implementation, empowering businesses to make informed decisions and maximize their returns in the evolving manufacturing landscape.
1:00 PM – 2:00 PM ET
Building a Digital Twin for Sustainable Resource Management
Sustainability regulation and customer demands are putting increasing pressure on manufacturers to both report and continuously improve on resource management. As software enablers like GE Vernova bring key utilities and input data points online including WAGES (Water, Air, Gas, Electricity, Steam) and material use – digital twins become a crucial asset for tracking and reducing consumption to meet enterprise goals.
In this panel, we will discuss real-time monitoring and analysis including process benchmarking, setting actionable goals in the context of your production workforce, and share real-world success stories for resource use optimization. Beyond the plant floor, digital twins for sustainable resource management can ease the integration with enterprise ERP systems and minimize the overhead of environmental impact assessments, help enable predictive maintenance to reduce downtime, align with existing quality control and safety goals, and lead to cost saving wins. With a digital twin for sustainable resource management, industrial leaders can feel more confident making decisions in today’s increasingly competitive and environmentally conscious business landscape.
2:00 PM – 3:00 PM ET
AI-powered Quality Control in Manufacturing: Leveraging IIoT for Zero Defects
Dive into innovative strategies and technologies using AI algorithms and IIoT sensors to enhance quality control, minimize defects, and optimize production efficiency. Discover how AI-driven quality control, in tandem with IIoT capabilities, revolutionizes manufacturing by providing predictive insights, enabling real-time monitoring, and ensuring adherence to stringent quality standards, ultimately aiming for flawless products and operational excellence.
3:00 PM – 4:00 PM ET
Securing the Evolution of Cyber-Physical Systems
As connectivity to the industrial network grows, the number and type of devices– smart sensors, valves, and gauges – expands the attack surface making industrial environments low-hanging fruit for an attack. Cyber physical systems can be difficult to defend due to the mix of modern and legacy equipment. The introduction of Artificial Intelligence (AI) and Machine Learning (ML) have expanded to improve data analytics and support the growing need for insight to improve time to market. As headlines highlight, attackers are recycling old threats using new techniques with industrial organizations in their sites. This panel of OT experts will discuss the threats, challenges, and strategies to secure cyber physical systems within manufacturing and the importance of securing the supply chain to support production output to meet revenue goals.
Global Information Security (GIS)
4:00 PM – 5:00 PM ET
Incident Response and Recovery in Manufacturing: Building Resilience Against Cyber Threats
Gain insights into building robust incident response plans, bolstering resilience, and safeguarding the integrity of supply chain operations against potential cybersecurity risks and disruptions.
