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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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5 ways IBM helps manufacturers maximize the benefits of generative AI

IBM Big Data Hub

While still in its early stages, generative AI can provide powerful optimization capabilities to manufacturers in the areas that matter most to them: productivity, product quality, efficiency, worker safety and regulatory compliance.

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Learning Management Systems and Life Sciences Quality & Manufacturing solutions – better together!

OpenText Information Management

OpenTextâ„¢ Documentumâ„¢ for Quality & Manufacturing (Q&M) solutions are widely used in Life Sciences companies to create, maintain, and revise quality and manufacturing documents. These quality and manufacturing documents are GxP documents that consist of Standard Operating Procedures (SOPs) and other controlled documents.

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Ever wonder why information matters in train safety?

OpenText Information Management

Trains carry billions of passengers and tons of freight a year worldwide. OpenTextâ„¢ customer Knorr-Bremse Group is a leading manufacturer of brakes and other components of trains, metro cars, … The post Ever wonder why information matters in train safety? appeared first on OpenText Blogs.

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Reducing defects and downtime with AI-enabled automated inspections

IBM Big Data Hub

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI).

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member. In our 2023 Impact Report , we reported that 70.6%

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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Prolonged development cycles might harm automotive manufacturers’ sales and customer loyalty. Automotive manufacturers, having a wealth of data related to existing designs, can use these large bodies of data to train AI models. However, in today’s market, consumers demand rapid releases of new models.