Industrial market research firm ResearchAndMarkets.com has analyzed the growth prospects of generative AI in industrial applications to identify the most innovative use cases.
These examples cover the industrial landscape including automotive, 3D printing, packaging, logistics, robotics, manufacturing, chemical and energy.
The report says generative AI is expected to lead a new manufacturing paradigm, driving innovation, efficiency and advanced problem-solving.
The researchers referred to generative AI as the next notable convergence trend, forecasting that it will likely unlock unprecedented value in the largely untapped industrial data generated by the current generation of digital technologies, both on the shop floor and in the back office.
According to the report, here are 13 ways generative AI is expected to change the manufacturing sector:
· Expand 3D printing design flexibility and enhance precision and control with generative models
· Identify novel materials with generative techniques to accelerate R&D
· Enhance industrial robot autonomy with generative algorithms
· Use generative models to detect defects and improve manufacturing accuracy
· Revolutionize data-driven decision-making through virtual AI factory assistants
· AI-generated predictive models will unleash the full potential of digital twins
· Revolutionize automotive product development through AI-generated blueprints
· AI for generative design in automotive
· Create innovative, functional, and eco-friendly packaging solutions
· Revolutionize knowledge transfer and task allocation through AI-generated blueprints
· Generative models for optimizing transportation routes and minimizing costs
· Streamline renewable energy plant design through comprehensive “what-if” scenarios
· Empower predictive and prescriptive maintenance and risk management
This report, which also looks at market drivers and constraints, is available for a fee here.