Speaker "Ijeoma Eti" Details Back
-
Name
Ijeoma Eti
-
Company
Layer5
-
Designation
Software Engineer
Topic
Key Applications of Artificial Intelligence in Manufacturing
Abstract
Artificial intelligence (AI) is rapidly transforming the manufacturing industry, from the factory floor to the supply chain. This talk explores how AI is applied in manufacturing through the lens of a software engineer, mixing technical depth with accessible insights for a general tech audience. I will highlight key areas of impact; predictive maintenance systems that use machine learning to anticipate equipment failures before they happen, and AI-driven quality control that detects defects faster and more reliably than the human eye. In addition, I’ll discuss how advanced analytics and optimization algorithms streamline production workflows, reduce downtime, and cut costs. Beyond these core applications, In this talk, I'll will go deeper into emerging trends like generative AI in manufacturing, for example, using AI to assist in product design, generate process improvements and handle compliance verification. I will examine why humans remain crucial in the loop, detailing how human expertise and oversight complement AI to ensure safety, ethics, and effectiveness. Lastly, this talk will also emphasize the critical role of data quality, since even the best AI models yield poor results with bad data.
Who is this presentation for?
This presentation is for anyone involved in the digital transformation of manufacturing, from engineers curious about practical AI systems to business leaders aiming to align AI with strategic goals to operations teams seeking optimization and quality improvements. Whether you're building the tools, deploying them on factory floors, or deciding where to invest next, this session offers a clear, grounded understanding of how artificial intelligence is reshaping manufacturing workflows and what it takes to get started effectively.
Prerequisite knowledge:
No prior knowledge is required to attend this talk, but a general understanding of how data and technology interact with manufacturing processes will help. Anyone familiar with software development, data analysis, operations, or decision-making in industrial settings will find the session valuable and easy to follow.
What you'll learn?
ttendees will learn practical steps for launching AI initiatives in manufacturing, including where to start and key considerations for success, as well as aligning AI efforts with business goals. The session will also provide practical guidance on getting started with AI in manufacturing, including key considerations such as choosing impactful pilot projects, developing the right skill sets, and integrating AI solutions with business objectives.