Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data.

Data Integration 173

Data Integration ETL Big Data Automation 173

Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data. Visit Hevo Data → 7.

Data Integration 173

Data Integration ETL Big Data Automation 173

IBM Journey to AI blog

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It also automates tasks like information extraction and content categorization. positive, negative or neutral).

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Flipboard

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging.

ML 165

ML Metadata Data Extraction AI 165

The MLOps Blog

MARCH 15, 2023

Provides data security using AI & blockchain technologies. Automates data collection from varied sources using extraction modules. Data extraction, model training, and storage all served under one roof. Provides data security using AI & blockchain technologies. Strong community and tech support.

Categorization 59

Categorization ETL Data Integration Automation 59

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. It literally has all of the technologies required for machine learning jobs.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Dlabs.ai

DECEMBER 6, 2022

Sounds crazy, but Wei Shao (Data Scientist at Hortifrut) and Martin Stein (Chief Product Officer at G5) both praised the solution. They use various state-of-the-art technologies, such as statistical modeling, neural networks, deep learning, and transfer learning to uncover the underlying relationships in data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Machine Learning 52