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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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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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When will AI usher in a new era of manufacturing?

CIO Business Intelligence

Manufacturing processes are industry dependent, and even within a sector, they often differ from one company to another. Moreover, lowering costs is not the only way manufacturers gain a competitive advantage. Companies across a multitude of industries are now using AI to improve their manufacturing processes.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

(P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. Smart manufacturing at scale.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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How Can Manufacturing Data Help Your Organization?

Sisense

The modern manufacturing world is a delicate dance, filled with interconnected pieces that all need to work perfectly in order to produce the goods that keep the world running. In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM! Conclusion.