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Leveraging AI for manufacturing excellence Series
Generative AI has captured the attention of the world, and is a hot topic for manufacturers – especially in board rooms and the C-suite. There is a great deal of excitement about the technology, but many struggle to separate hype from reality. This session will review the current state of AI in manufacturing, discuss the industry challenges that make generative AI so appealing to manufacturing leaders, hear about successes (and failures) of generative AI use-cases across the manufacturing value chain, and dive into key learnings over the last 18-24 months to help further your own journey towards delivering value with generative AI.
AWS - Since launching in 2006, Amazon Web Services has been providing world-leading cloud technologies that help any organization and any individual build solutions to transform industries, communities, and lives for the better. As part of Amazon, we strive to be Earth’s most customer-centric company. We work backwards from our customers’ problems to provide them with cloud infrastructure that meets their needs, so they can reinvent continuously and push through barriers of what people thought was possible. Whether they are entrepreneurs launching new businesses, established companies reinventing themselves, non-profits working to advance their missions, or governments and cities seeking to serve their citizens more effectively—our customers trust AWS with their livelihoods, their goals, their ideas, and their data. https://aws.amazon.com/
PPM Global Solution - is a Canadian company focused on providing comprehensive solutions for managing supply chain disruptions, leveraging innovative strategies such as Integrated Business Planning and Lean Optimization. Their approach integrates Artificial Intelligence to enhance predictive capabilities, optimize processes, and drive efficient decision-making across various industries. By embracing AI and other advanced technologies, PPM Global Solution aims to empower organizations to predict challenges more accurately, prioritize critical paths, and implement effective risk mitigation strategies, thereby achieving superior supply chain performance.
Danny Smith is AWS Principal Strategist for Artificial Intelligence and machine learning, with global responsibility for automotive, industrial, and manufacturing industries. He serves as a strategic advisor for customers at the intersection of artificial intelligence and digital transformation, helping them improve decision making by leveraging advanced algorithms and technology to improve outcomes. Lately most of his conversations are on democratizing machine learning and especially over the last 18+ months on the potential and reality of generative AI. Immediately prior to this role Danny led the launch of AWS’s no-code machine learning service Amazon SageMaker Canvas, aimed at democratizing machine learning for line-of-business users. Canvas has been the fastest growing ML service in Amazon history to date – until generative AI! His career focus has been on helping leaders make better decisions whether in the board room or on the shop floor using data and advanced algorithms, and has led advisory at Ceridian, SAS Institute, Oracle, and other companies. He started his career in the industrial supply chain space and continues to have a fondness for it, especially freight trains. Danny has a B.S. in Industrial Management from the Georgia Institute of Technology and a M.S. in Decision Sciences from Georgia State University.
Jimmy Timm is the managing Director of PPM Global Solution and a distinguished leader in operational excellence with profound expertise in leveraging the latest in continuous improvement methods and emerging technologies, including artificial intelligence, to drive transformative change across industries. A certified master black belt in lean and six sigma, Jimmy specializes in enhancing operational efficiency and fostering innovative workplace cultures through a people-first approach.
He has worked with a diverse blend of manufacturing and service organizations at all levels. This includes many industry sectors such as aerospace, electronics, food processing, automotive, construction, finance, mining, pharmaceuticals, IT and most recently supply chain. This has given him a unique perspective related to continuous improvement and global supply chain best practices.
With this experience, he has also been invited to deliver numerous presentations internationally on best practices related to global supply chain and continuous improvement.
A veteran member of the AME Canadian Board for 20 years, Jimmy has a deep commitment to advancing manufacturing/business excellence.
Tuesday, June 18, 2024
12 p.m. Introduction
12:05 p.m. Presentation
12:50 p.m. Q&A
1 p.m. Event adjourns
• Current state of AI in manufacturing
• Insight of which industry challenges that make generative AI so appealing to manufacturing leaders
• Hear about successes (and failures) of generative AI use-cases across the manufacturing value chain
• Dive into key learnings over the last 18-24 months to help further your own journey towards delivering value with generative AI
• Manufacturing Leaders: Including CEOs, CTOs, and other executives interested in how AI can drive strategic improvements and business growth.
• Operations and Production Managers: Professionals managing daily manufacturing processes who can use AI to enhance efficiency, reduce costs, and improve product quality.
• Engineers and Quality Control Specialists: Those involved in designing manufacturing processes and maintaining product quality, interested in using AI for optimization and predictive maintenance.
• Supply Chain and IT Professionals: Individuals managing supply chain logistics or implementing AI technology in manufacturing settings, seeking to improve demand forecasting, inventory management, and overall technological integration.
• Innovation, R&D, and Continuous Improvement Professionals: Those focused on developing new technologies, improving existing processes, and applying AI to solve complex challenges and drive continuous enhancements.
• Business Analysts, Consultants, and Regulatory Compliance Officers: Advisors and regulators looking to stay abreast of AI applications and ensure compliance with industry standards.
• Academic and Future Industry Professionals: Students and academics in fields related to manufacturing and AI who wish to gain insights into real-world applications and industry trends
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Cancelation Policy: This event may be canceled by AME for any reason. AME is not responsible for incidental costs incurred by registrants. For paid events, registration fee less a $20 administration fee will be refunded up to one week before the event. Substitutions may be made up to three days prior to the start of the event.
