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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk.

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NeoBanks – The New Age Tech Revolutionizing AI in Banking

bridgei2i

The rise of new kinds of data and analysis techniques from AI to machine learning that is actually driving the decisions behind the systems that can enable the so-called transformations. With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management.

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What is a Data Pipeline?

Jet Global

Data Migration Pipelines : These pipelines move data from one system to another, often for the purpose of upgrading systems or consolidating data sources. For example, migrating customer data from an on-premises database to a cloud-based CRM system. structured, semi-structured, or unstructured data).