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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Then, it suggests the social media user tag that individual.

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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. Many industries rely on CMMS as a component of EAM, including manufacturing, oil and gas production, power generation, construction and transportation.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

The prospect of developing synthetic minds that can learn and solve complex problems promises to revolutionize and disrupt many industries as machine intelligence continues to assume tasks once thought the exclusive purview of human intelligence and cognitive abilities. Imagine a self-driving car piloted by an AGI. What are the types of AGI?

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Peter Drucker (1999) compared the Industrial and Information Revolutions and their impacts on societies, industries, and jobs. So, the concept of DT is not new and was predicted as the foundation for the Fourth Industrial Revolution. [1] Figure 1: Illustration of Bush’s Memex. Information and Content Explosion.

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How to choose the best enterprise asset management software

IBM Big Data Hub

One business’ assets might be thousands of miles of electrical wiring, while another’s might be manufacturing equipment or warehouses. Use cases for enterprise asset management (EAM) Across every asset-intensive industry, businesses are challenged with how to maximize asset value throughout their lifecycle.

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Microcontrollers vs. microprocessors: What’s the difference?

IBM Big Data Hub

While accessible to even beginner developers, microcontrollers are also frequently applied in a wide range of professional and industrial use cases, including industrial automation, transportation safety systems and prototyping. Arm microcontrollers are widely used in mobile devices, automotive systems and industrial control systems.