CIO Business Intelligence
DECEMBER 18, 2023
As businesses speed up their digital transformation, solutions for application and data integration become key for modernizing applications and deploying AI effectively throughout the enterprise, IBM said in a news release announcing the deal. IDC predicts the worldwide integration software market will exceed $18.0 1,” IBM said.
IBM Big Data Hub
JANUARY 9, 2024
Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.
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Ontotext
JUNE 3, 2020
By promoting a method of representation using a contextual data framework (one which provides the context in which a thing, place, person, group, event or period is recorded), rather than using existing documentation standards, a richer semantic representation could be used more relevant to a wider range of audiences and users.
Ontotext
JANUARY 11, 2023
It’s best to think of knowledge graphs as a rich network of meaningfully connected data about products, people, locations, personal preferences, suppliers, etc. As such, they incorporate information and develop inferences from otherwise disconnected systems to enable efficient insights and operations based on contextualized data.
CIO Business Intelligence
NOVEMBER 18, 2022
This type of flexible, cloud-based data management allows 3M HIS to aggregate different data sets for different purposes, ensuring both data integrity and faster processing. This is a dynamic view on data that evolves over time,” said Koll.
IBM Big Data Hub
AUGUST 23, 2023
Data governance for LLMs The best breakdown of LLM architecture I’ve seen comes from this article by a16z (image below). It is supported by querying, governance and open data formats to access and share data across the hybrid cloud. A strong data foundation is critical for the success of AI implementations.
IBM Big Data Hub
DECEMBER 16, 2022
With a data catalog, Alex can discover data assets she may have never found otherwise. An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose. A business glossary to explain the business terms used within a data asset.
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