Blog Business Intelligence Data Discovery 
IBM Journey to AI blog
OCTOBER 17, 2024
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.
IBM Journey to AI blog
MAY 9, 2023
. “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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IBM Journey to AI blog
DECEMBER 16, 2022
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.
IBM Journey to AI blog
JULY 3, 2024
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.
IBM Journey to AI blog
JANUARY 5, 2023
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.
IBM Journey to AI blog
JANUARY 18, 2023
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.
The MLOps Blog
MAY 17, 2023
A data pipeline is created with the focus of transferring data from a variety of sources into a data warehouse. Further processes or workflows can then easily utilize this data to create business intelligence and analytics solutions. This involves looking at the data structure, relationships, and content.
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