Remove Risk Remove Risk Management Remove Structured Data Remove Unstructured Data
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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

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

IBM Big Data Hub

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. Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

The answers to these foundational questions help you uncover opportunities and detect risks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Why do risk and opportunity events matter?

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NeoBanks – The New Age Tech Revolutionizing AI in Banking

bridgei2i

Today, with AI, more sophisticated rules can be developed which address the sparse data problems by factoring in alternate and behavioural data such as smart phone usage and payment behaviour. 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

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).