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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

Eventually, this led to the transformation of the project into forming an expansive knowledge graph containing all the marketing knowledge we’ve generated, ultimately benefiting the whole organization. OTKG models information about Ontotext, combined with content produced by different teams inside the organization.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. IBM developed an AI-powered Knowledge Discovery system that use generative AI to unlock new insights and accelerate data-driven decisions with contextualized industrial data.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Labeling, indexing, ease of discovery, and ease of access are essential if end-users are to find and benefit from the collection. Do not forget the negations.

Strategy 266
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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

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Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

XML and later JSON were the languages that enabled data interchange by establishing a common data model by establishing a standard description of the data being shared. Separate documents called schemas let you describe the structure and restrictions of the data being described. Metadata, the Lingua Franca of the Internet.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models.

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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The models created using these algorithms could be evaluated against appropriate metrics to verify the model’s credibility. Data Mining Models. Classification.