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. Ready to discover how to tap into the power of knowledge graphs with Ontotext Platform?

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Ontotext

APRIL 6, 2023

Knowledge graphs in Retail Knowledge graphs are also making waves in retail, helping companies create better product catalogs, search engines, recommendation systems, global loyalty programs, enterprise data management, computer vision applications and more. Want to learn more about how knowledge graphs can help your business?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

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

AWS Big Data

SEPTEMBER 26, 2024

Building upon this reference architecture, this solution demonstrates how enterprises can use Amazon Bedrock to enhance their data assets through automated data enrichment. By providing summaries, extracting insights, and enriching with metadata, you efficiency add innovative features that provide differentiated user experiences.

Data Lake 103

Data Lake Cost-Benefit Unstructured Data Modeling 103

Ontotext

AUGUST 19, 2020

Beyond the ability to ensure there was an enterprise wide data model, it was also possible to reuse data but with different metadata and schema. Finding what you need through file structures on our personal computers is bad enough, never mind an enterprise-wide ICT. White Paper: Text Analytics for Enterprise Use.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

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

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Get these wrong and chances are your enterprise processes and systems will suffer. It also creates a knowledge base to power growth through well-defined context and coherent systems. How to Get a Semantic Edge?

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

AUGUST 26, 2021

Here, we’ve decided to present another two Ontotext webinars that give the bird’s eye view of the enterprise knowledge graph technology we have dedicated 20+ years to develop for some of the most knowledge intensive enterprises in various industries.

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Analytics Knowledge Discovery Enterprise Optimization 52

Ontotext

DECEMBER 30, 2019

As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer.

Knowledge Discovery 52

Knowledge Discovery Publishing Technology Enterprise 52

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?

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

AUGUST 10, 2023

They make this possible by adding domain knowledge that puts your organization’s data in context and enables its interpretation. Adding context and semantic consistency to the data, improves knowledge discovery, business analytics, and decision-making.

Technology 52

Technology Knowledge Discovery Interactive Enterprise 52

Ontotext

APRIL 4, 2019

The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. How do you help?

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Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Domino Data Lab

JUNE 15, 2021

This is the core functionality of the Domino’s Enterprise MLOps platform – a system that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. About Domino. Satisfying IT requirements for security, governance, compliance, and collaboration. About Snowflake.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

OCTOBER 28, 2021

FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs. Today, users from the general public, journalists, etc. LinkedLifeData Inventory Pre-loaded In GraphDB.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

The Unofficial Google Data Science Blog

JANUARY 14, 2016

As with any enterprise, the goal of the service provider is to better satisfy its users and further its business objectives. Indeed, understanding and facilitating user choices through improvements in the service offering is much of what LSOS data science teams do.

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Experimentation Statistics Metrics Measurement 42

CIO Business Intelligence

MARCH 26, 2025

The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machine learning (ML)-based relevancy, vector/semantic search, and large language models (LLMs) helping organizations finally unlock the value of unanalyzed data. How did we get here?

Knowledge Discovery 84

Knowledge Discovery Cost-Benefit Enterprise Modeling 84

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

Ontotext

AUGUST 21, 2024

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52