Episode 805: Don't Fear: AI Will Displace People - Not Replace People
Oct 31, 2023
auto_awesome
Bryan DeBois, Director of Industrial AI at RoviSys, discusses how AI in manufacturing is the logical next step in production control and analysis. AI is a tool to manage large volumes of data to get actionable information, leading to ROI. The podcast also explores the challenges of adopting AI, the impact on the manufacturing workforce, and the advancements in autonomous and generative AI.
AI in manufacturing is a tool to manage large volumes of data and get actionable information, driving better decision-making.
The integration of AI in manufacturing creates an opportunity to capture the expertise of experienced workers and transfer it to AI systems, while also opening up potential for individuals to transition to higher-value jobs within the industry.
Deep dives
The Evolution of AI in Industrial Manufacturing
AI in industrial manufacturing is seen as the natural progression of control strategy in the industry. It is considered a landmark in advancing manufacturing processes, with the potential to increase quality, reduce costs, and improve yield. The integration of AI is driven by the growing volume of data available from smart equipment on the plant floor. However, the challenge lies in ensuring that the data is clean and correlated, as AI algorithms require large volumes of clean data to perform effectively. Organizational change management is important to build trust in AI and ensure operators believe in the technology's capabilities.
Transforming Manufacturing Industries with AI and Data
The transformation of manufacturing industries into data and AI-driven environments is not a new concept. Companies have been collecting and integrating data for decades. However, the significant difference lies in the quantity and quality of the data available today. With the increasing adoption of AI, leveraging large volumes of clean and correlated data is crucial. Use cases play a vital role in determining the data requirements, and organizations focus on solving specific pain points and achieving goals like cost-cutting, production improvement, and quality control. The ultimate aim is to obtain actionable information and drive better decision-making.
The Impact of AI on the Workforce and Future Job Opportunities
While discussions around AI often raise concerns about job displacement, the reality is that manufacturing industries are facing a shortage of skilled workers. With an increasing number of unfilled manufacturing jobs, the focus is not on replacing workers but on finding people willing to learn these specialized skills. The introduction of AI creates an opportunity to capture the expertise of experienced workers and transfer it to AI systems so that they can make better decisions. It also opens up the potential for individuals to transition to higher-value jobs within the industry. As with previous industrial revolutions, new job opportunities are likely to emerge, and society will adapt to the changing landscape.
Bryan DeBois, Director of Industrial AI at RoviSys speaks about AI in manufacturing - why we should embrace it rather than fear it, and where it is the logical next step in production control and analysis. AI isn't disrupting manufacturing any more than PLCs did when GM introduced them in 1968. AI in manufacturing is a tool to manage large volumes of data to get actionable information, and only when action is taken does ROI happen.