Remove Business Intelligence Remove Business Objectives Remove Data Warehouse Remove Internet of Things
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

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The Future of AI in the Enterprise

Jet Global

With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. Enter data warehousing.

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The Future of AI in the Enterprise

Jet Global

With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. Enter data warehousing.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. The right data model + artificial intelligence = augmented analytics.