Generative AI has plenty of practical industrial engineering uses. It can create and improve new product designs and processes and do mathematical optimization. So why wait? Unleash the power of generative AI and see what amazing creations you can come up with!
https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
Process Improvement Generative AI - ChatGPT Answer - 20.4.2023
Process improvement is an essential component of business growth, and generative AI has the potential to play a significant role in this area. Generative AI refers to a category of artificial intelligence that involves the creation of new data, such as images, music, or text, by training a model on existing data. Here are some ways generative AI can be used for process improvement:
Data generation: Generative AI can be used to generate new data that can be used to train machine learning models. This can help improve the accuracy of these models, leading to better results and more efficient processes.
Process optimization: Generative AI can be used to optimize processes by identifying patterns and anomalies in data. By analyzing large amounts of data, generative AI can help businesses identify areas where they can improve their processes to increase efficiency and reduce waste.
Product design: Generative AI can be used to create new designs for products based on user requirements. This can help businesses to create products that are more in line with customer needs and preferences.
Natural language processing: Generative AI can be used for natural language processing to improve customer service and support processes. For example, generative AI can be used to generate automated responses to customer queries or to create personalized email responses.
Predictive maintenance: Generative AI can be used to predict maintenance needs and identify potential failures in equipment. This can help businesses to schedule maintenance proactively, reducing downtime and improving overall productivity.
Overall, generative AI has the potential to revolutionize process improvement by enabling businesses to analyze and optimize processes in ways that were previously impossible. By using generative AI in conjunction with other process improvement tools and techniques, businesses can gain a competitive edge and achieve greater efficiency and profitability.
GPT-4 can take input of picture. Can GPT take process charts as input and analyze them? IEs will get benefit if it analyzes process charts.
Software Development Processes and Generative AI
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What is artificial intelligence?
Artificial intelligence is the practice of getting machines to mimic human intelligence to perform tasks.
Machine learning is a type of artificial intelligence. In machine learning, artificial intelligence develops through models that can “learn” from data patterns without human direction.
Types of machine learning models
Until recently, machine learning was largely limited to predictive models, used to observe and classify patterns in content. For example, a classic machine learning problem is to start with an image or several images of, say, elephants. The program would then identify patterns among the images, and then scrutinize random images to identify the ones having elephant in them. Generative AI is machine learning, now able to create an image of an elephant on demand.
Meta - Make A Video GPT
https://venturebeat.com/ai/metas-new-make-a-video-signals-the-next-generative-ai-evolution/
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