## How IBM Helps Manufacturers Harness the Power of Generative AI

The collaboration of generative AI and manufacturing can bring about significant advancements in key areas such as productivity, product quality, efficiency, worker safety, and regulatory compliance. Generative AI can also enhance the accuracy and performance of other AI models, offering benefits like improved image quality evaluation in computer vision models. IBM has been at the forefront of delivering expert solutions to assist real clients in integrating generative AI into their future operations planning. Here’s a detailed look at the five specific ways IBM is supporting manufacturers to maximize the potential of generative AI.

### 1. Training Validation

Generative AI can alleviate the time-consuming burden of worker training by observing videos, tracking training steps, and providing summaries with time stamps for managers. This capability not only saves time but also enhances workforce readiness and operations in highly regulated industries. Early testing indicates that generative AI has the potential to reduce training time by approximately 30% and increase training completion and certification by 25%.

### 2. Assisting Workers in Accessing SOPs

In complex manufacturing settings with numerous standard operating procedures (SOPs), generative AI can provide quick answers with visual and audible support, significantly enhancing operational efficiencies and end-user problem-solving. This capability may potentially lead to a 15% improvement in operational efficiencies and a 90% increase in end-user problem-solving.

### 3. Verifying Line Set-Up

Generative AI can play a pivotal role in automating the verification of manufacturing line set-ups, thereby substantially reducing rework and decreasing set-up errors by approximately 75%. This is particularly critical in complex tasks such as line clearance in biopharma manufacturing, where the proper execution of line clearance can have significant economic implications.

### 4. Enhancing Quality Assurance Processes

By improving image fidelity and summarizing defects with mitigation strategies, generative AI can drive an 80% increase in quality error detection and enable quick adjustments to manufacturing settings to eliminate quality issues. This, in turn, can lead to a reduction in the number of subsequent quality issues, improved throughput, and enhanced market reputation.

### 5. Maintaining Regulatory Compliance

Generative AI can help manufacturers avoid regulatory fines, reduce them by 25%, and enhance compliance by 60% using real-time text and spoken-query access to regulatory bodies, thereby assisting end-users in checking current processes and policies against regulatory databases for necessary updates.

Now is the time for manufacturers to harness the potential of generative AI, and IBM Consulting® stands ready to help businesses design and scale advanced AI solutions and automation confidently and expeditiously.

**Explore transformative solutions for the manufacturing industry, and learn how IBM can optimize the use of generative AI to enhance operations.**

*Disclaimer: This article is based on information available in the original source [IBM](https://www.ibm.com/blogs/insights-on-business/ai/how-ibm-helps-manufacturers-maximize-the-benefits-of-generative-ai/).*

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### Frequently Asked Questions (FAQs)

#### Can generative AI be integrated into various industries other than manufacturing?
Generative AI holds potential across various industries, such as healthcare, finance, retail, and more. It can be utilized to optimize processes, enhance quality, and ensure regulatory compliance.

#### How does generative AI contribute to worker safety in the manufacturing industry?
Generative AI can assist in automating tasks, verifying procedures, and providing real-time access to critical information, thereby reducing human error and fostering a safer working environment.

#### What sets IBM’s approach to generative AI apart from others in the market?
IBM’s expertise in AI, coupled with its deep industry knowledge, allows them to tailor generative AI solutions specifically to the unique challenges and requirements of the manufacturing sector, yielding superior and impactful results for their clients.