Preliminary Program - Check Back as More Sessions will be Added
AstraZeneca - Accelerating Our Digital Transformation to Meet Patient Demand for Medicines
Gurinder Kaur, VP Global Operations IT, AstraZeneca
At AstraZeneca, Global Operations represents a significant component of our global footprint, with 26 operations sites in 16 countries and more than 14,000 people. Looking ahead, we are focused on delivering accelerated growth for AstraZeneca...Read More
The Road to Digital Transformation
Stephen Mellor, CTO, Industrial Internet Consortium
Connecting industrial plant to the internet enables businesses to transform themselves digitally to create new products and services and to create new business models to monetize their offerings. But this is a road going uphill. Where do you start? How do you address...Read More
Panel Discussion: The Future Work in Manufacturing
Moderated by Konrad Konarski, Chairman, AI Innovation Consortium
Diverse panel of industry and academic experts discuss the future of work in the manufacturing industry. Including the latest advancements in AI , the digital worker and the unavoidable collision of the blue collar workforce and Industry 5.0...Read More
How and When Can Manufacturers Go Wireless?
Patrick Grossetete, Cisco
Most manufacturers today are operating factory floors with largely hard-wired equipment. Ripping and replacing to move to wireless would be a tough case to make, particularly when today’s wired technology is largely not compatible with legacy wireless capabilities...Read More
Breakthroughs in Leveraging Machine Learning to Reduce Supply Chain Costs
Rob Allan, Program Director, IBM Synergy
The IBM team will share the latest utilizations of machine learning in supply chains to drive unprecedented cost savings. You will hear a detailed description of the advances in machine learning technology as well as a vision for where IBM sees the technology evolving...Read More
AI-Driven Manufacturing - The Practitioners' Perspective
Dr. Stefan Hild, Data Science Director, ei3 Corporation
Edward Jump, IIoT Digital Analytics Leader, Milacron
AI holds the promise of increased machine and process performance because a clever algorithm can sift through millions of data points from machines to find those hidden performance hogs. Yet, many in the manufacturing world are still skeptical and scared about AI...Read More
Enabling Predictive Operational Excellence in the Food & Beverage Industry
Dr. Nikunj Mehta, Founder and CEO, Falkonry
Adding predictive to digital twins hold great promise because they bring all of the information the end user needs into one place. But a digital twin that only stores data is just another data lake. By incorporating Operational AI, the digital twin produces actionable insights to predict...Read More
Toward Operational AI in Manufacturing
Andre Yoon, CEO, MakinaRocks
The adoption of AI in the manufacturing sector is accelerating. The pandemic has incited more than 75% of manufacturing companies to integrate digital enables such as the cloud, data analytics, and AI. However, considering the operational challenges of ML, or MLOps (Machine Learning Operations), the incorporation of AI into a company is a difficult task...Read More
Using AI, Machine Vision and Edge Computing for Quality Control
Dave Austin, Senior Principal Engineer, Intel Corporation
Manufacturers are embracing Industry 4.0 technologies like AI and machine vision to turn the challenges presented by COVID-19 into opportunities. For example, the manufacturing industry is facing a labor shortage, making it especially difficult to fill specialized roles...Read More
The Future Of AI in Agile Manufacturing: Case Studies in Supply-Chain Level Issue Discovery and Diagnosis
Anna-Katrina Shedletsky, CEO, Instrumental
Manufacturing is in a state of upheaval as the optimization priorities of the past decade, which focused on cost and just-in-time processes, are replaced with a need for agility and process control in the face of significant ongoing supply chain disruptions...Read More
Reducing Inspection Errors, Costs, and Risk with Hybrid AI
Jonathan Hou, President, Pleora Technologies
Manufacturers and brand owners navigating through the complexities of AI are left with a few key questions. How can AI reduce errors and automate manual tasks? Is algorithm training expensive or complicated? Can I keep existing infrastructure and processes? This session will discuss hybrid AI...Read More
Manufacturing Profitability AI
Yen Chang, Founder, MATA Inventive
The year 2021 is an exciting but challenging year in manufacturing. The economy is recovering, yet there is an universal talent shortage and material cost increase. There are certain things you can not do much about, such as the steel price, and there are some other things definitely...Read More
Addressing the Cybersecurity Resource Gap as Manufacturing Embraces New Technology
Don Ward, Senior Vice President, Global Services, Mission Secure
Today’s manufacturing, industrial automation, and process control network environments are increasingly digital and connected. With this digital transformation, the age of air-gapped security is quickly becoming extinct. At the same time, manufacturing environments are exposed to...Read More
AI-Powered, Real-Time Quality Inspection in Mission-Critical Materials Processing Operations
Mike Mohseni, PhD, Founder and President, AutoMetrics Manufacturing Technologies Inc
In mission-critical manufacturing operations such as welding, defects can potentially lead to disasters, therefore, quality inspection is a critical part of these operations. The manufacturing industry adopts various solutions to ensure quality, and intensive post-process inspection...Read More