Remove Big data Remove Manufacturing Remove Mining
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Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Bounty of potential data sources to be mined for actionable insights in support of the business initiative. Figure 8: Data Lake Components.

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Digital twins reimagined at scale for energy and resources 

OpenText Information Management

We rely on machines to ensure water comes out of our faucets, heat our homes and businesses, fill our cars with petrol or electricity, construct and maintain roads, transport people and goods, provide medical images, and manufacturing more machines. In this sector, the ratio of gross plant, property, and equipment (aka.

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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

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Improving supply chain resiliency in the industrial sector

IBM Big Data Hub

80% of manufacturers report MRO asset management in their facilities needs improvement 60% of construction companies admit their industry is behind when it comes to adopting digital technology 5 ways the industrial sector can improve its supply chain resiliency 1. This equipment is critical to expanding capacity for chip production.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Considering circuitry, both GPUs and FPGAs make effective central processing units (CPUs) , with many available options from manufacturers like NVIDIA or Xilinx designed for compatibility with modern Peripheral Component Interconnect Express (PCIe) standards.

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Envisioning new and hidden realities with data and augmented reality—a digital “twin city” example

CGI

All of this information has a value to city planners, but also would be of interest to law enforcement, hospitals, insurance companies, stores, restaurants and car manufacturers—and even energy suppliers planning where to locate vehicle charging stations. This is happening for the town of Kiruna, a municipality in northern Sweden.

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