Rocket-Powered Data Science

JULY 6, 2021

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

Strategy Machine Learning Metadata Knowledge Discovery 266

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. One of the most imperative features of social BI is its ability to create self-served and user-generated analysis, coupled with the application of business user knowledge. What is Social Business Intelligence?

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Ontotext

APRIL 6, 2023

Providing insights into the performance of different systems and processes, knowledge graphs can significantly improve asset management, equipment maintenance, factory floor management & optimization, industrial safety and a lot more. computer manufacturers are relying on knowledge graphs (and GraphDB) in their operations.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

DECEMBER 4, 2020

The drug under investigation is an anti-inflammatory agent, and the study looks at self-reported pain relief and plasma concentration over time. The study features 4 arms (including the placebo arm), using doses of 5mg, 20mg, and 80mg, administered at time 0, and tracks the self-reported pain relief and drug concentration at 0, 0.5,

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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 patterns discovered after this step are interpreted using various visualization and reporting techniques and are made comprehensible for other team members to understand. Deployment.

Data mining 77

Data mining KDD Data Science Forecasting 77

Ontotext

OCTOBER 28, 2021

often want to find information about a particular medical product, for example, if any serious adverse reactions have been reported for it. 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.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52