The manufacturing industry is facing a challenging situation with cost pressures, supply chain volatility, and disruptive technologies like 3D printing and IoT. To stay competitive, manufacturers must continuously optimize processes, improve efficiency, and enhance overall equipment effectiveness.
Additionally, there is a growing focus on sustainability and energy transition, urging manufacturers to reduce their carbon footprint, adopt circular economy practices, and become more eco-friendly.
Manufacturers also need to balance innovation with stability and safety. Inaccurate AI predictions in manufacturing can have severe consequences, highlighting the importance of reliable technology solutions.
While technology and disruption are not new to manufacturers, the challenge lies in translating theoretical concepts into practical solutions. Issues such as knowledge base inefficiencies, data management challenges, and technical debt hinder progress in the industry.
The solution lies in generative AI
Generative AI offers various capabilities and use cases that are gaining traction in the manufacturing industry:
1. Summarization
Summarization using generative AI technology is widely used in manufacturing to help operators access information quickly and effectively. IBM® provides gen AI accelerators tailored for manufacturing to assist in summarization tasks.
Summarization also aids in diagnosing equipment failures quickly and accurately, improving maintenance efficiency.
2. Contextual data understanding
Generative AI helps manufacturers navigate complex data systems by providing insights and accelerating data-driven decisions. IBM’s AI-powered Knowledge Discovery system and context-aware feature engineering accelerators enhance process visibility and decision-making.
Additionally, IBM’s workforce advisor leverages summarization and contextual data understanding to assist operators and engineers in troubleshooting and root cause analysis.
3. Coding Assistance
Gen AI supports coding tasks, including code documentation, modernization, and development. Organizations like Water Corporation have benefited from AI-powered tools like Watson Code Assistant for IT modernization projects.
4. Asset Management
Generative AI transforms asset management by creating foundation models for predictive maintenance, technician support, and training. These models improve asset performance and reduce downtime.
Build new digital capabilities with generative AI
IBM believes that leveraging generative AI technologies will accelerate digitalization initiatives in the manufacturing industry. Foundation models powered by gen AI offer agility, flexibility, and scalability, driving business transformation.
Generative AI enhances the value of AI investments in manufacturing enterprises, making AI technologies more consumable and delivering faster time-to-value.
Was this article helpful?
YesNo
