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.

Knowledge Discovery 52

Knowledge Discovery Analytics Enterprise Optimization 52

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

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

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

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

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? Which Semantic Web?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). Efficient tactics can be created along with a better overall decision-making process within an organization with the help of social and collaborative business intelligence tools.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Hoewever, it can be a double-edged sword for enterprises.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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

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.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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

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

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 Optimization Knowledge Discovery Enterprise 64