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The next generation of BI: Powered by IBM Granite foundation models

IBM Journey to AI blog

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). Renowned for its superior reporting capabilities, IBM Cognos offers an unparalleled level of depth and flexibility for organizations looking to extract valuable insights from their data.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

. “The media and entertainment industry has undergone a significant digital transformation, with viewers consuming content across different devices and platforms,” said Vitaly Tsivin, EVP Business Intelligence at AMC Networks. ” Notably, watsonx.data runs both on-premises and across multicloud environments.

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Five benefits of a data catalog

IBM Journey to AI blog

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Attivio Accelerates Business Intelligence and Big Data Projects with New Data Source Discovery Software

Attivio

June 8, 2015: Attivio ( www.attivio.com ), the Data Dexterity Company, today announced Attivio 5, the next generation of its software platform. And anecdotal evidence supports a similar 80% effort within data integration just to identify and profile data sources.” [1] Newton, Mass.,

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

With a semantic layer, you can generate data enrichments that enable clients to find and understand previously cryptic, effectively structured data across your data estate in natural language through semantic search to accelerate data discovery and unlock data insights faster, no SQL required.

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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.