Pickl AI
JUNE 28, 2023
What is Data Mining? In today’s data-driven world, organizations collect vast amounts of data from various sources. But, this data is often stored in disparate systems and formats. Here comes the role of Data Mining. Here comes the role of Data Mining.
Alation
MARCH 29, 2022
The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos. During the 1990s, attempts were made to tackle challenges including: Inefficient data silos.
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IBM Journey to AI blog
APRIL 15, 2024
Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. Virtualization layer abstraction and developer benefits Advantage: The virtualization layer in the data platform acts as an abstraction layer.
Dataconomy
APRIL 27, 2023
Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.
IBM Journey to AI blog
MARCH 14, 2024
Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.
AWS Machine Learning Blog
JANUARY 13, 2023
Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.
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