Document Risk Risk Management Unstructured Data 
Cloudera
JUNE 12, 2024
Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Some of the biggest and well-known financial institutions are already realizing value from AI and GenAI: JPMorgan Chase uses AI for personalized virtual assistants and ML models for risk management.
CIO Business Intelligence
DECEMBER 19, 2023
Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities.
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CIO Business Intelligence
OCTOBER 3, 2023
They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.
bridgei2i
APRIL 23, 2020
The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.
IBM Big Data Hub
DECEMBER 4, 2023
The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.
Cloudera
OCTOBER 28, 2021
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.
Cloudera
NOVEMBER 18, 2021
The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services. Data for Good.
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