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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. TAM management, like content management, begins with business strategy. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML).

Strategy 267
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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Our goal is to generate a knowledge space where information is easy to find, reuse, and fuel knowledge-driven insights. Where does AI fit into this?

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Understanding Social And Collaborative Business Intelligence

datapine

In collaborative business intelligence, the workers and business managers interact with each other in order to improve the communication system. Collaborative business intelligence is the process of business intelligence and collaboration technologies coming together to support an ambiance of new and improved decision-making methods.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

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. Asset Management Gen AI has the power to transform asset management.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. As we have seen, many leading auto part makers and car manufacturers use knowledge graphs to improve their operations. In supply chain management there is also a lot of semantic work and standardization that is being done.