The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

AUGUST 16, 2019

Next month marks the twelfth edition of our live online training Designing a Semantic Technology Proof-of-Concept. But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

SEPTEMBER 15, 2020

It is important to remember that in an age where new technologies can go from cult usage to widespread adoption with astonishing rapidity that a Data Fabric aims to orchestrate existing and future data services rather than replace existing infrastructure. Create a human AND machine-meaningful data model.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Data Science 101

OCTOBER 31, 2019

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.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

OCTOBER 28, 2021

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Visual Ontology Modeling With metaphactory. This makes it much easier to collaborate and discuss specific parts of the model.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

AUGUST 10, 2023

In a world that seems deluged with technology, reliant on innovations, and fascinated by the next shiny object, it’s ironic that some of the most critical technology often goes unseen or unappreciated. Interestingly, SIM cards share a striking similarity with another technology that’s gaining popularity, that of knowledge graphs.

Technology 52

Technology Knowledge Discovery Interactive Enterprise 52

Ontotext

FEBRUARY 19, 2020

We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling. Create your semantic data model. Make your KG easy to maintain.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Ontotext

APRIL 4, 2019

Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. This is a knowledge that anyone can get, but it would take much longer than optimal. Economy.bg: You work with media companies such as the BBC and the Financial Times.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

The Unofficial Google Data Science Blog

JANUARY 14, 2016

These are sites and services which rely both on ubiquitous user access to the internet as well as advances in technology to scale to millions of simultaneous users. Of particular interest to LSOS data scientists are modeling and prediction techniques which keep improving with more data. A consequence of the LSOS business model?

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

FineReport

JULY 16, 2021

Business intelligence system is a set of complete solutions using technologies, processes and applications. You need the ability of data analysis to aid in enterprise modeling. It is a process of using knowledge discovery tools to mine previously unknown and potentially useful knowledge. What is BI System?

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Ontotext

APRIL 27, 2021

What is needed is a technology that can extract and retain the meaning of any new knowledge as well as being able to provide provenance for each underlying fact supporting the scientific conclusions. The knowledge graph seamlessly connects proprietary internal data with open public data to provide a single comprehensive view.

Knowledge Discovery 59

Knowledge Discovery Unstructured Data Insurance Testing 59

Ontotext

FEBRUARY 21, 2024

In this blog post, we dive into the capabilities of Ontotext’s semantic technology products and solutions that facilitate NLQ. RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64