Remove Government Remove Machine Learning Remove Unstructured Data
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Informatica Buys AllSight and What It Means for the CDP Industry

Customer Experience Matrix

which purchased Treasure Data , is not a typical enterprise software vendor. By contrast, Informatica is very much a leader in enterprise data management, with a major presence in integration, Master Data Management (MDM), governance, and security. It illustrates the difference between MDM and CDP.

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How to Streamline Auto Loan Origination with Intelligent Document Processing (IDP)

Lightico

Additionally, government authorities and regulatory bodies may intensify their scrutiny of lending. IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions.

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Product updates: XM is now more streamlined, intelligent, and mobile

Qualtrics

New Text iQ visualizations — Text iQ uses AI and machine learning to analyze unstructured data for topic and sentiment. Industry-leading, enterprise-grade capabilities for governance. You are now able to provide new, easy-to-interpret visualizations to more people across the organization.

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How AI-Driven Contact Centers Can Improve Loan Approvals & Debt Recovery

Hodusoft

Regulatory Compliance Banks and financial institutions must comply with a wide range of regulations governing lending practices such as anti-money laundering (AML), Know Your Customer (KYC) requirements, and others specific to lending. ML helps in analyzing past customer behavior and predicting future actions or needs.

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Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Learn more about Sprinklr Unified Care. Brands are awash in an ocean of unstructured data.

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Text Analytics for Health: AI-Driven Healthcare Insights

SurveySensum

Text Analytics in Healthcare refers to the process of extracting meaningful insights from unstructured medical text, such as patient records, doctors notes, clinical trial data, and research articles. It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data.