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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

A modern information lifecycle management approach Today’s ILM approach recognizes the enterprise value of all digitized and enriched assets , avoiding the habituated, narrow reliance ontraditional structured data. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says.

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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. Open file formats enable analysis of the same Amazon S3 data using multiple processing and consumption layer components.

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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

Free Download of FineReport Benefits and limitations of Business Intelligence Dashboard (BI Dashboard) BI dashboards have become essential tools for enterprises to extract valuable insights from their expanding data repositories, which often encompass structured, unstructured, and semi-structured data.

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Data Integration Patterns in Knowledge Graph Building with GraphDB

Ontotext

The update is to drop and re-import the same graph data into a single atomic transaction. In use cases when the named graph has other meanings or the granularity of the updates is smaller like on the business object level, the user can design an explicit DELETE/INSERT template.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale. Data warehouse Data warehouses are efficient in consolidating structured data from multifarious sources and serving analytics queries from a large number of concurrent users.

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Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

You can use AWS Glue Studio to create jobs that extract structured or semi-structured data from a data source, perform a transformation of that data, and save the result set in a data target. She has a focus on data and analytics and provides guidance on building analytics solutions on AWS.

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