This article is published by AllBusiness.com, a partner of TIME. What is Natural Language Processing”? Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on the ...
Manage is unveiling major new capabilities for Ask iManage, enabling users to ask natural-language questions across the ...
The data lakehouse provider Databricks isn't slowing down on its shopping spree: the company today announced it has acquired the team behind Einblick, a provider of a natural language data science ...
Data-to-text generation, a subfield of natural language processing (NLP), is dedicated to translating structured data into coherent, human‐readable narratives. This capability has significant ...
Natural-language filtering allows enterprise security responders to translate plain-language queries into precise, auditable ...
This article is published by AllBusiness.com, a partner of TIME. Natural Language Generation (NLG) refers to the use of artificial intelligence to produce human-like text based on structured or ...
BOSTON--(BUSINESS WIRE)--AtScale, a leader in semantic layer technology, today announced its groundbreaking integration with Databricks Genie, bringing powerful natural language querying to the ...
Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...
IBM (NYSE:IBM) announced Monday that it acquired Seek AI, a New York City-based artificial intelligence startup specializing in natural language data querying, as part of a larger push into agentic AI ...
Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...
At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...
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