Ontotext

NOVEMBER 22, 2024

It uses the Retrieval Augmented Generation (RAG) approach , with a structured knowledge graph in the retrieval step and is hosted on the Databricks platform which provides smooth integration of processing resources on the cloud. It offers a comprehensive suite of features designed to streamline research and discovery.

Knowledge Discovery 52

Knowledge Discovery Visualization Data-driven Data Processing 52

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. SIGKDD is ACM’s Special Interest Group on Knowledge Discovery and Data Mining.?The 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

SEPTEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Data Lake 113

Data Lake Cost-Benefit Unstructured Data Modeling 113

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. The fantasy football and video hosting examples, which we will discuss in more detail later, highlight situations where this design might be considered, despite potential complexity in the analysis.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Ontotext

SEPTEMBER 15, 2020

There must be a representation of the low-level technical and operational metadata as well as the ‘real world’ metadata of the business model or ontologies. The multiple and varying ‘views’ of the data are now possible without modifying the data at its source or the host system. Integrate data with ETL or virtualization.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Machine Learning Consulting 78