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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” But the urgency and the upside of modernizing and optimizing the data architecture keeps coming into sharper focus.

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Automation for all—managing and scaling networks has never been easier

CIO Business Intelligence

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Yet most businesses haven’t tapped into two major capabilities of truly agile distributed networks: scale and automation.

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

CIO Business Intelligence

Artificial intelligence (AI) projects are another useful example. Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Artificial intelligence (AI) projects are another useful example. Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

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Finding the Right Technologies for the Right Scenarios

CIO Business Intelligence

Deeper digital transformation can help companies better deal with uncertainties.”. Bob Chen points out that data ingestion, transmission, storage, and analysis are key steps in digital transformation. per year over 2022 to 2024. We are entering the fourth industrial revolution, where menial office tasks will be carried out by machines.

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11 dark secrets of data management

CIO Business Intelligence

Good data scientists can also reduce some of this uncertainty through cleansing. Those fears are fueling regulation and often snagging companies and even well-meaning data scientists into public relations blowback. Not only that, but people are deliberately jamming data collection with fake values or wrong answers.

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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.