CDW Research Hub

JULY 31, 2019

For instance, a level 1 travel bot can provide a link for you to book travel. Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. NLU is able to do two things?—?intent intent classification and entity extraction.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. What they cannot do well is entity linking.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 104

Data Lake Unstructured Data Data Warehouse Data Quality 104

Domino Data Lab

MARCH 3, 2019

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49