Remove Business Intelligence Remove Data Transformation Remove Internet of Things Remove IoT
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8 data strategy mistakes to avoid

CIO Business Intelligence

With nearly 800 locations, RaceTrac handles a substantial volume of data, encompassing 260 million transactions annually, alongside data feeds from store cameras and internet of things (IoT) devices embedded in fuel pumps.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

To address these challenges, businesses need an inventory management and forecasting solution that can provide real-time insights into inventory levels, demand trends, and customer behavior. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

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Transforming Big Data into Actionable Intelligence

Sisense

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The right data model + artificial intelligence = augmented analytics. However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. Dig into AI. displaying BI insights for human users). displaying BI insights for human users).

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Agent Swarms – an evolutionary leap in intelligent automation

CIO Business Intelligence

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

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