Leveraging AI to Optimize Manufacturing Processes and Enhance Decision Making

The increase in consumer demand, connectivity of smart factory systems, and data volume is driving manufacturers to leverage AI to enhance maintenance, boost quality, increase efficiency and aid human decision making within their smart factories.

While AI can streamline factory operations and logistics to keep up with changing product demand, creating a smart infrastructure that has the foundations and readiness to implement AI and has a workforce that trusts its capabilities presents a challenge.

To overcome this barrier to integration and stay ahead of the curve, manufacturers will be attending the summit to learn how to build a strong analytics architecture and change management mindset.

• Are you responsible for spearheading your organization’s digital transformation journey within food and beverage? Discover how to enhance product quality, boost plant safety, optimize tracking and traceability, and reduce overall supply chain costs and more.
• Are you a supply chain manager for a leading OEM? Uncover how you can use image analysis to monitor manufacturing systems and examine automotive parts to enhance vehicle quality and avoid unnecessary downtimes.
• If you are a data scientist for a pharmaceutical manufacturer, learn how you can utilize data science algorithms, machine learning, and deep learning to ensure tasks are performed accurately and identify how drug production can be streamlined. This in turn will reduce waste, accelerate production times, and enable AI-driven decision making.
• If you are head of digital manufacturing for an Aerospace and Defense manufacturer, hear how you can scale and ingrain data analytics and AI to gain insights from large quantities of production data and allow for autonomous decision-making.