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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

implementations that strive to create plant-wide, fleet-wide, and enterprise-wide visibility, insights, and improvements. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. This creates barriers to Industry 4.0

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Discover The Power Of Modern Performance Reports – See Examples & Best Practices 

datapine

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. In the past, these reports were used after a month or even a year since the data being displayed was generated.

Reporting 207
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The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 176
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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.