Remove Business Intelligence Remove Data Collection Remove Testing Remove Uncertainty
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Q&A with Chris Ortega: Dealing With Uncertainty Through Technology

Jet Global

Within the field of accounting, business intelligence and artificial intelligence are essential for leveraging technology. I want other organizations and businesses to understand the value of these technologies and how they can transform what companies are doing with finance. We do use ERP software as our global platform.

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Leading infrastructure to accelerate electric power intelligence

CIO Business Intelligence

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. communication reliability, which supports minute-level data collection and second-level control for low-voltage transparency.

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How SAP changed Carl Zeiss AG’s view of optical product manufacturing

CIO Business Intelligence

Picture years and years of paper Until recently, ZEISS’s highly regulated manufacturing environment relied heavily on two documentation types: Digital History Records (DHR) to validate data for compliance and Work Instruction documentation to stipulate the required steps in performing specific activities. Reams of it, in fact.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever. With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market.

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11 dark secrets of data management

CIO Business Intelligence

Some of the paradoxes relate to the practical challenges of gathering and organizing so much data. Others are philosophical, testing our ability to reason about abstract qualities. And then there is the rise of privacy concerns around so much data being collected in the first place.