Remove Business Intelligence Remove Data Collection Remove Reporting 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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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. Data Architecture, IT Leadership

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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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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. Artificial intelligence (AI) projects are another useful example.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. Artificial intelligence (AI) projects are another useful example. The HPE GreenLake Advantage.

IT 89
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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

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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.