Ontotext

JULY 29, 2021

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. And what are the commercial implications of semantic technologies for enterprise data? What is it?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

FEBRUARY 19, 2020

Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Clean your data to ensure data quality. One thing is for sure, though.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

SEPTEMBER 15, 2020

With knowledge graphs, users can create on-the-fly views of the data without duplication and without being beholden to the idiosyncrasies of the data’s origins and tailored to the user’s security privileges, technical ability and needs. Ontotext’s Platform for Enterprise Knowledge Graphs.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

AUGUST 31, 2023

This article is the first in a series of two where we discuss our perspective on what is considered a semantic knowledge graph, why it’s important (specifically in the context of AI and LLMs) and share how they can drive your enterprise goals forward. What is a knowledge graph? Unlock the full potential of your data!

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Domino Data Lab

JUNE 15, 2021

To properly scale data science, companies need a holistic system to develop, deploy, monitor, and manage models at scale – a system of record for their data science. Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs. About Domino. About Snowflake.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69