IBM Big Data Hub
APRIL 15, 2024
Contextual data understanding Data systems often cause major problems in manufacturing firms. Various initiatives to create a knowledge graph of these systems have been only partially successful due to the depth of legacy knowledge, incomplete documentation and technical debt incurred over decades.
CIO Business Intelligence
MAY 25, 2023
The first, dubbed Magic Documents, applies AI to Alteryx’s Auto Insights feature, creating contextualized data visualizations in several forms, including PowerPoint, email and more. Alteryx’s AiDIN engine will power three new features, according to a company announcement Wednesday. All are available immediately. Analytics
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CIO Business Intelligence
MAY 2, 2023
Worse is when prioritized initiatives don’t have a documented shared vision, including a definition of the customer, targeted value propositions, and achievable success criteria. Having too many number-one priorities sets unrealistic expectations with business stakeholders and stresses team leaders.
AWS Big Data
APRIL 2, 2024
What we hear from customers Organizations are adopting enterprise-wide data discovery and governance solutions like Amazon DataZone to unlock the value from petabytes, and even exabytes, of data spread across multiple departments, services, on-premises databases, and third-party sources (such as partner solutions and public datasets).
CIO Business Intelligence
NOVEMBER 18, 2022
3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. The cloud served as the foundation for this transformation.
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.
Alation
JUNE 28, 2022
A metadata management framework combines organizational structure and a set of tools to create a data asset taxonomy. Document type: describes creation, storage, and use during business processes. Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands.
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