AWS Machine Learning Blog

MARCH 18, 2025

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction.

LLM 108

LLM NLP Data Integration AI 108

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition. trillion in value.

Machine Learning 225

Machine Learning Automation AI AI 225

IBM Journey to AI blog

DECEMBER 16, 2022

The solution also helps with data quality management by assigning data quality scores to assets and simplifies curation with AI-driven data quality rules. AI recommendations and robust search methods with the power of natural language processing and semantic search help locate the right data for projects.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

AWS Machine Learning Blog

SEPTEMBER 28, 2023

As an Information Technology Leader, Jay specializes in artificial intelligence, data integration, business intelligence, and user interface domains. In this role, he functions as the Global Generative AI Lead Architect and also the Lead Architect for Supply Chain Solutions with AABG.

Generative AI 121

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 121

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

Data Ingestion 120

Data Ingestion Metadata NLP Data Scientist 120

Marktechpost

JULY 17, 2023

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. This makes it a wise decision for your business if you anticipate using the tool by less experienced workers.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

JULY 18, 2023

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. It offers tools for data exploration, ad-hoc querying, and interactive reporting.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52