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Mastering Product Life Cycle Management with Analytics

Sisense

Although many publications compare product data management and product life cycle management — commonly framing the debate as “PDM versus PLM” — that can create confusion. We will then see how business intelligence within PLM is leveraging AI analytics toward new levels of insight and productivity.

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A Comprehensive Guide on MLOps for Machine Learning Engineering

Analytics Vidhya

Introduction I believe all you’re familiar with the terminology DevOps for these many years, this is the complete culture and process life cycle of CI/CD. This is the best fit for the traditional software that is managed in the production environment very effectively […].

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

Manufacturers are attaining significant advancements in productivity, quality, and effectiveness with early use cases of AI and GenAI. AI and generative AI are ideally suited to optimize production processes and bridge the physical and digital worlds with real-time monitoring and control. Consider quality control.

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IT’s role in moving the organisation towards a circular economy

CIO Business Intelligence

We currently exist in what’s known as a linear economy, where finite resources are extracted to make products that are used and then thrown away. In contrast, the circular economy is a system based on the regeneration of materials or products, especially as a means of continuing production in a sustainable or environmentally friendly way.

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Announcing General Availability of Model Registry

Cloudera

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. It focuses on storing model artifacts in the Model Registry, linking development and production environments.

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Minimizing the negative impact of IT through design and circularity

CIO Business Intelligence

In a previous blog , I described the three areas of product development and operation that HPE Aruba Networking focuses on when designing our products for IT efficiency and sustainable operations—like how products are made, how they work, and how they are being used. But what about the product lifecycle itself?

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Achieving Trusted AI in Manufacturing

Cloudera

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. Manufacturers now have unprecedented capacity to collect, utilize, and manage massive amounts of data. Develop a data strategy built on a robust data platform.