Ontotext

NOVEMBER 22, 2024

Introduction Research published in academic journals plays a crucial role in improving drug discovery by revealing new biological targets, mechanisms, and treatment strategies. It offers a comprehensive suite of features designed to streamline research and discovery.

Knowledge Discovery 52

Knowledge Discovery Visualization Data-driven Data Processing 52

FineReport

JULY 16, 2021

Through this way, it can support current corporate analysis and future decision or strategy making. It is a process of using knowledge discovery tools to mine previously unknown and potentially useful knowledge. It is an active method of automatic discovery. INTERFACE OF BI SYSTEM. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Ontotext

APRIL 6, 2023

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

AWS Big Data

SEPTEMBER 26, 2024

CloudShell is a browser-based shell environment provided by AWS that allows you to interact with and manage your AWS resources directly from the AWS Management Console. Results can vary depending on the large language model (LLM) and prompt strategies selected. Run sam delete from CloudShell.

Data Lake 101

Data Lake Cost-Benefit Unstructured Data Modeling 101

Ontotext

DECEMBER 1, 2023

The panel offered an interesting discussion about strategies for overcoming these challenges, avoiding the pitfalls, and applying the best practices in semantic knowledge graph building. Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata.

Metadata 78

Metadata Sales Machine Learning Consulting 78

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. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. This includes defining the underlying drivers (i.e.,

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52