Remove Management Remove Risk Management Remove Structured Data Remove Unstructured Data
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NeoBanks – The New Age Tech Revolutionizing AI in Banking

bridgei2i

The firm has a new personal finance app Mimo, which uses open-banking application programming interfaces, artificial intelligence (AI) and data analytics to create a social feed that helps customers manager their money.”. With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured 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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What is a Data Pipeline?

Jet Global

Batch processing pipelines often rely on job scheduling tools to automate the process and ensure that data extraction, transformation, and loading occur at specified times. Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks. structured, semi-structured, or unstructured data).

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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. Effective brand reputation management: Social media platforms are powerful channels where customers express opinions en masse.